scholarly journals Performance Comparison of Firefly and Cuckoo Search Algorithms in Optimal Thresholding of Cancer Cell Images

2019 ◽  
Vol 10 (1) ◽  
pp. 29
Author(s):  
Daniel Martomanggolo Wonohadidjojo
Keyword(s):  
Cancer Cells ◽  
Image Enhancement ◽  
Cancer Cell ◽  
Performance Metrics ◽  
Mean Squared Error ◽  
Signal To Noise Ratio ◽  
Cuckoo Search ◽  
Performance Comparison ◽  
Indexing Method ◽  
Two Stages

This research presented a performance comparison of the two methods in cancer cells image processing. Each method consisted of two stages. The first stage was image enhancement using fuzzy sets. The second stage was optimal fuzzy entropy based image thresholding. In the thresholding stage, the first method used Firefly Algorithm (FA) and the second used Cuckoo Search (CS). In both methods, four performance metrics (Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Structured Similarity Indexing Method (SSIM), and Feature Similarity Indexing Method (FSIM)) and variance and entropy of the images were computed to validate the comparison. The image histograms of both methods show that the distribution of red, green, and blue channel is better than the histograms of original images. In terms of the four metrics, the method that uses FA shows higher performance than CS. In terms of image variance and entropy, the method using CS shows better results than FA. These results suggest that when the performance metrics used are MSE, PSNR, MSSIM, and FSIM, the method using FA is more suitable for cancer cells image enhancement and thresholding. However, when the variance and entropy of the images are used as the performance metrics, the method using CS is more suitable for cancer cells image enhancement and thresholding. Both methods will be useful to assist in the analysis of cancer cell images by the experts in the field.

A Fusion of Cuckoo Search and Multiscale Adaptive Smoothing Based Unsharp Masking for Image Enhancement

2019 ◽  
Vol 10 (3) ◽  
pp. 151-174 ◽  
Author(s):  
Lalit Maurya ◽  
Prasant Kumar Mahapatra ◽  
Amod Kumar
Keyword(s):  
Image Enhancement ◽  
Signal To Noise Ratio ◽  
Cuckoo Search ◽  
Histogram Equalization ◽  
Adaptive Smoothing ◽  
Visual Appearance ◽  
Search Optimization ◽  
Fusion Images ◽  
Contrast Stretching ◽  
Linear Contrast

Image enhancement means to improve the visual appearance of an image by increasing its contrast and sharpening the features. This article presents a fusion of cuckoo search optimization-based image enhancement (CS-IE) and multiscale adaptive smoothing based unsharping method (MAS-UM) for image enhancement. The fusion strategy is introduced to improve the deficiency of enhanced image that suppresses the saturation and over-sharpness artefacts in order to obtain a visually pleasing result. The ideology behind the selection of fusion images (candidate) is that one image should have high sharpness or contrast with maximum entropy and other should be high Peak Signal-to-Noise Ratio (PSNR) sharp image, to provide a better trade-off between sharpness and noise. In this article, the CS-IE and MAS-UM results are fused to combine their complementary advantages. The proposed algorithms are applied to lathe tool images and some natural standard images to verify their effectiveness. The results are compared with conventional enhancement techniques such as Histogram equalization (HE), Linear contrast stretching (LCS), Contrast-limited adaptive histogram equalization (CLAHE), standard PSO image enhancement (PSO-IE), Differential evolution image enhancement (DE-IE) and Firefly algorithm-based image enhancement (FA-IE) techniques.

scholarly journals Enhancement of medical images using fuzzy logic

2021 ◽  
Vol 23 (3) ◽  
pp. 1478
Author(s):  
Yousra Ahmed Fadil ◽  
Baidaa Al-Bander ◽  
Hussein Y. Radhi
Keyword(s):  
Image Enhancement ◽  
Medical Images ◽  
Signal To Noise Ratio ◽  
Visual Appearance ◽  
Fuzzy C Means Clustering ◽  
Reasonable Limit ◽  
Image Pixels ◽  
The Difference ◽  
Two Stages ◽  
Average Information

Image enhancement is one of the most critical subjects in computer vision and image processing fields. It can be considered as means to enrich the perception of images for human viewers. All kinds of images typically suffer from different problems such as weak contrast and noise. The primary purpose of image enhancement is to change an image's visual appearance. Many algorithms have recently been proposed for enhancing medical images. Image enhancement is still deemed a challenging task. In this paper, the fuzzy c-means clustering (FCM) technique is utilized to enhance the medical images. The method of enhancement consists of two stages. The proposed algorithm conducts a cluster test on the image pixels. It then increases the difference of gray level between the diverse objects to accomplish the enhancement purpose of the medical images. The experimental results have been tested using various images. The algorithm enhanced the small target of the image to a reasonable limit and revealed favorable performance. The results of image enhancement techniques were evaluated by using terms of different criteria such as peak signal to noise ratio (PSNR), mean square error (MSE) and average information contents (AIC), showing promising performance.

scholarly journals A New Harris Hawks-Cuckoo Search Optimizer for Multilevel Thresholding of Thermogram Images

2020 ◽  
Vol 34 (5) ◽  
pp. 541-551
Author(s):  
Leena Samantaray ◽  
Sabonam Hembram ◽  
Rutuparna Panda
Keyword(s):  
Performance Metrics ◽  
Signal To Noise Ratio ◽  
Similarity Index ◽  
Cuckoo Search ◽  
Function Optimization ◽  
Multilevel Thresholding ◽  
Infrared Images ◽  
Thresholding Method ◽  
Kapur’S Entropy ◽  
Feature Similarity Index

The exploitation capability of the Harris Hawks optimization (HHO) is limited. This problem is solved here by incorporating features of Cuckoo search (CS). This paper proposes a new algorithm called Harris hawks-cuckoo search (HHO-CS) algorithm. The algorithm is validated using 23 Benchmark functions. A statistical analysis is carried out. Convergence of the proposed algorithm is studied. Nonetheless, converting color breast thermogram images into grayscale for segmentation is not effective. To overcome the problem, we suggest an RGB colour component based multilevel thresholding method for breast cancer thermogram image analysis. Here, 8 different images from the Database for Research Mastology with Infrared images are considered for the experiments. Both 1D Otsu’s between-class variance and Kapur's entropy are considered for a fair comparison. Our proposal is evaluated using the performance metrics – Peak Signal to Noise Ratio (PSNR), Feature Similarity Index (FSIM), Structure Similarity Index (SSIM). The suggested method outperforms the grayscale based multilevel thresholding method proposed earlier. Moreover, our method using 1D Otsu’s fitness functions performs better than Kapur’s entropy based approach. The proposal would be useful for analysis of infrared images. Finally, the proposed HHO-CS algorithm may be useful for function optimization to solve real world engineering problems.

scholarly journals Comparing the spectral properties of the laser-induced acoustic responses from blood and cancer cells in vitro

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Yurii M. Ishbulatov ◽  
Viktoriia V. Skazkina ◽  
Anatoly S. Karavaev ◽  
Olga A. Inozemtseva ◽  
Danil N. Bratashov ◽  
...  
Keyword(s):  
Cancer Cells ◽  
Cancer Cell ◽  
Blood Cells ◽  
Signal To Noise Ratio ◽  
Detection Algorithm ◽  
Melanoma Cells ◽  
Normal Blood ◽  
Signal To Noise ◽  
Low Pass ◽  
Acoustic Responses

Background ― The treatment of the cancer, especially in more aggressive metastatic forms is more effective at early disease stage. However, existing diagnostic techniques are not sensitive enough for early cancer detection. An alternative, perspective diagnostic approach can be based on photoacoustic (PA) method of irradiation of cancer cells in biotissue, blood and lymph by laser pulses. The fast thermal expansion of heated zones into cells associated with intrinsic or artificial PA contrast agents leads to generation of acoustic waves detected with ultrasound transducers. In particular, melanoma cells with melanin as a PA marker are darker than normal red blood cells and, therefore, produce greater acoustic responses. This technique can theoretically detect even a single cancer cell in the tissue and blood background; however, a robust algorithm of automated response detection is yet to be developed. Objective ― The main aim is to develop the approach for data pre-analysis that can improve the sensitivity and noise resistance of the automated in individual cancer cell detection algorithm, based on estimation of the amplitude of the acoustic responses. Methods ― Acoustic responses were obtained from a round polyurethane tube with human blood, or solution of the mouse melanoma cells in 10 mol/L concentration. In control experiments the laser was blocked by an opaque film. Many (up to 1000) acoustic responses were obtained from normal blood cells and pigmented cancer cells. Spectral analysis of the acoustic responses was used to find the spectral ranges that provide valuable diagnostic information with the sufficient signal-to-noise ratio. Results ― It was estimated that relevant diagnostics information in the acoustic responses is limited to the 0-12 MHz frequency band. Application of the 8th order low-pass Butterwort filter with 12 MHz cut-off frequency improved the signal-to-noise ratio from 21.14±10.39 to 110.81±56.94 for the cancer-related responses, and from 1.04±0.1 to 2.23±0.33 for the normal blood responses. Conclusions ― Adoption of low-pass filtering during the pre-analysis of acoustic responses results in better sensitivity of automated cancer cells detection algorithm.

N-hexane Extract and Fraction of Green Tea as Antiproliferation of MCM-B2 Breast Cancer Cells In Vitro

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Lisni Noraida Waruwu ◽  
Maria Bintang ◽  
Bambang Pontjo Priosoeryanto
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Green Tea ◽  
Cancer Cell ◽  
Breast Cancer Cells ◽  
Green Tea Extract ◽  
Hexane Fraction ◽  
Phytochemical Screening ◽  
Tea Extract

Green tea (Camellia sinensis) is one of traditional plants that have the potential as an anticancer. The sample used in this research commercial green tea extract. The purpose of this study was to test the antiproliferation activity of green tea extract on breast cancer cell MCM-B2 in vitro. Green tea extract fractionated using three solvents, ie water, ethanol 70%, and n-hexane. Extract and fraction of green tea water have value Lethality Concentration 50 (LC50) more than 1000 ppm. The fraction of ethanol 70% and n-hexane had an LC50 value of 883.48 ppm and 600.56 ppm, respectively. The results of the phytochemical screening of green tea extract are flavonoids, tannins, and saponins, while the phytochemical screening results of n-hexane fraction are flavonoids and tannins. Antiproliferation activity was tested on breast cancer cells MCM-B2 and normal cells Vero by trypan blue staining method. The highest MCM-B2 cell inhibitory activity was achieved at a concentration of 13000 ppm green tea extract and 1000 ppm of n-hexane fraction, 59% and 59%, respectively. The extract and n-hexane fraction of green tea are not toxic to normal Vero cells characterized by not inhibiting normal cell proliferation. Keywords: antiproliferative, cancer cell MCM-B2, commercial green tea, cytotoxicity

Image Quality Enhancing by Efficient Histogram Equalization

2014 ◽  
Vol 2 (2) ◽  
pp. 47-58
Author(s):  
Ismail Sh. Baqer
Keyword(s):  
Image Quality ◽  
Contrast Enhancement ◽  
Mean Squared Error ◽  
Signal To Noise Ratio ◽  
Histogram Equalization ◽  
Gray Level ◽  
Signal To Noise ◽  
Squared Error ◽  
Noise Ratio

A two Level Image Quality enhancement is proposed in this paper. In the first level, Dualistic Sub-Image Histogram Equalization DSIHE method decomposes the original image into two sub-images based on median of original images. The second level deals with spikes shaped noise that may appear in the image after processing. We presents three methods of image enhancement GHE, LHE and proposed DSIHE that improve the visual quality of images. A comparative calculations is being carried out on above mentioned techniques to examine objective and subjective image quality parameters e.g. Peak Signal-to-Noise Ratio PSNR values, entropy H and mean squared error MSE to measure the quality of gray scale enhanced images. For handling gray-level images, convenient Histogram Equalization methods e.g. GHE and LHE tend to change the mean brightness of an image to middle level of the gray-level range limiting their appropriateness for contrast enhancement in consumer electronics such as TV monitors. The DSIHE methods seem to overcome this disadvantage as they tend to preserve both, the brightness and contrast enhancement. Experimental results show that the proposed technique gives better results in terms of Discrete Entropy, Signal to Noise ratio and Mean Squared Error values than the Global and Local histogram-based equalization methods

Synthesis and Characterization of Quinoline-3-Carboxamide Derivatives as Inhibitors of the ATM Kinase

2020 ◽  
Vol 20 (23) ◽  
pp. 2070-2079
Author(s):  
Srimadhavi Ravi ◽  
Sugata Barui ◽  
Sivapriya Kirubakaran ◽  
Parul Duhan ◽  
Kaushik Bhowmik
Keyword(s):  
Western Blot ◽  
Cancer Cells ◽  
Cell Line ◽  
Cell Lines ◽  
Cancer Cell ◽  
Blot Analysis ◽  
Western Blot Analysis ◽  
Cancer Cell Lines ◽  
Atm Kinase ◽  
Cytotoxicity Studies

Background: The importance of inhibiting the kinases of the DDR pathway for radiosensitizing cancer cells is well established. Cancer cells exploit these kinases for their survival, which leads to the development of resistance towards DNA damaging therapeutics. Objective: In this article, the focus is on targeting the key mediator of the DDR pathway, the ATM kinase. A new set of quinoline-3-carboxamides, as potential inhibitors of ATM, is reported. Methods: Quinoline-3-carboxamide derivatives were synthesized and cytotoxicity assay was performed to analyze the effect of molecules on different cancer cell lines like HCT116, MDA-MB-468, and MDA-MB-231. Results: Three of the synthesized compounds showed promising cytotoxicity towards a selected set of cancer cell lines. Western Blot analysis was also performed by pre-treating the cells with quercetin, a known ATM upregulator, by causing DNA double-strand breaks. SAR studies suggested the importance of the electron-donating nature of the R group for the molecule to be toxic. Finally, Western-Blot analysis confirmed the down-regulation of ATM in the cells. Additionally, the PTEN negative cell line, MDA-MB-468, was more sensitive towards the compounds in comparison with the PTEN positive cell line, MDA-MB-231. Cytotoxicity studies against 293T cells showed that the compounds were at least three times less toxic when compared with HCT116. Conclusion: In conclusion, these experiments will lay the groundwork for the evolution of potent and selective ATM inhibitors for the radio- and chemo-sensitization of cancer cells.

A Novel Triazole Derivative Drug Presenting In Vitro and In Vivo Anticancer Properties

2018 ◽  
Vol 18 (17) ◽  
pp. 1483-1493
Author(s):  
Ricardo Imbroisi Filho ◽  
Daniel T.G. Gonzaga ◽  
Thainá M. Demaria ◽  
João G.B. Leandro ◽  
Dora C.S. Costa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Cell Line ◽  
Cancer Cell ◽  
Cancer Cell Line ◽  
Hepatic Function ◽  
Anticancer Properties ◽  
Mcf 7

Background: Cancer is a major cause of death worldwide, despite many different drugs available to treat the disease. This high mortality rate is largely due to the complexity of the disease, which results from several genetic and epigenetic changes. Therefore, researchers are constantly searching for novel drugs that can target different and multiple aspects of cancer. Experimental: After a screening, we selected one novel molecule, out of ninety-four triazole derivatives, that strongly affects the viability and proliferation of the human breast cancer cell line MCF-7, with minimal effects on non-cancer cells. The drug, named DAN94, induced a dose-dependent decrease in MCF-7 cells viability, with an IC50 of 3.2 ± 0.2 µM. Additionally, DAN94 interfered with mitochondria metabolism promoting reactive oxygen species production, triggering apoptosis and arresting the cancer cells on G1/G0 phase of cell cycle, inhibiting cell proliferation. These effects are not observed when the drug was tested in the non-cancer cell line MCF10A. Using a mouse model with xenograft tumor implants, the drug preventing tumor growth presented no toxicity for the animal and without altering biochemical markers of hepatic function. Results and Conclusion: The novel drug DAN94 is selective for cancer cells, targeting the mitochondrial metabolism, which culminates in the cancer cell death. In the end, DAN94 has been shown to be a promising drug for controlling breast cancer with minimal undesirable effects.

Design, Synthesis and Biological Evaluation: 5-amino-1H-pyrazole-1- carbonyl derivatives as FGFR Inhibitors

2020 ◽  
Vol 17 (11) ◽  
pp. 1330-1341
Author(s):  
Yan Zhang ◽  
Niefang Yu
Keyword(s):  
Cancer Cells ◽  
Cell Lines ◽  
Cancer Cell ◽  
Cancer Cell Lines ◽  
Biological Evaluation ◽  
Human Gastric Cancer ◽  
Design Synthesis ◽  
Carbonyl Derivatives ◽  
Ic50 Values ◽  
Inhibitory Activities

Background: Fibroblast growth factors (FGFs) and their high affinity receptors (FGFRs) play a major role in cell proliferation, differentiation, migration, and apoptosis. Aberrant FGFR signaling pathway might accelerate development in a broad panel of malignant solid tumors. However, the full application of most existing small molecule FGFR inhibitors has become a challenge due to the potential target mutation. Hence, it has attracted a great deal of attention from both academic and industrial fields for hunting for novel FGFR inhibitors with potent inhibitory activities and high selectivity. Objective: Novel 5-amino-1H-pyrazole-1-carbonyl derivatives were designed, synthesized, and evaluated as FGFR inhibitors. Methods: A series of 5-amino-1H-pyrazole-1-carbonyl derivatives were established by a condensation of the suitable formyl acetonitrile derivatives with either hydrazine or hydrazide derivatives in the presence of anhydrous ethanol or toluene. The inhibitory activities of the target compounds were screened against the FGFRs and two representative cancer cell lines. Tests were carried out to observe the inhibition of 8e against FGFR phosphorylation and downstream signal phosphorylation in human gastric cancer cell lines (SNU-16). The molecular docking of all the compounds were performed using Molecular Operating Environment in order to evaluate their binding abilities with the corresponding protein kinase. Results: A series of 5-amino-1H-pyrazole-1-carbonyl derivatives have been designed and synthesized, screened for their inhibitory activities against FGFRs and cancer cell lines. Most of the target compounds showed moderate to good anti-proliferate activities against the tested enzymes and cell lines. The most promising compounds 8e suppressed FGFR1-3 with IC50 values of 56.4, 35.2, 95.5 nM, and potently inhibited the SNU-16 and MCF-7 cancer cells with IC50 values of 0.71 1.26 μM, respectively. And 8e inhibited the growth of cancer cells containing FGFR activated by multiple mechanisms. In addition, the binding interactions were quite similar in the molecular models between generated compounds and Debio-1347 with the FGFR1. Conclusion: According to the experimental findings, 5-amino-1H-pyrazole-1-carbonyl might serve as a promising template of an FGFR inhibitor.

Small Molecular Leads Differentially Active Against HER2 Positive and Triple Negative Breast Cancer Cell Lines

2019 ◽  
Vol 15 (7) ◽  
pp. 738-742 ◽  
Author(s):  
Adnan Badran ◽  
Atia-tul-Wahab ◽  
Sharmeen Fayyaz ◽  
Elias Baydoun ◽  
Muhammad Iqbal Choudhary
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Triple Negative ◽  
Cancer Cell Lines ◽  
Breast Cancer Cell Lines ◽  
Cancer Type

Background:Breast cancer is the most prevalent cancer type in women globally. It is characterized by distinct subtypes depending on different gene expression patterns. Oncogene HER2 is expressed on the surface of cell and is responsible for cell growth regulation. Increase in HER2 receptor protein due to gene amplification, results in aggressive growth, and high metastasis in cancer cells.Methods:The current study evaluates and compares the anti-breast cancer effect of commercially available compounds against HER2 overexpressing BT-474, and triple negative MDA-MB-231 breast cancer cell lines.Results:Preliminary in vitro cell viability assays on these cell lines identified 6 lead molecules active against breast cancer. Convallatoxin (4), a steroidal lactone glycoside, showed the most potent activity with IC50 values of 0.63 ± 0.56, and 0.69 ± 0.59 µM against BT-474 and MDA-MB-231, respectively, whereas 4-[4-(Trifluoromethyl)-phenoxy] phenol (3) a phenol derivative, and Reserpine (5) an indole alkaloid selectively inhibited the growth of BT-474, and MDA-MB-231 breast cancer cells, respectively.Conclusion:These results exhibited the potential of small molecules in the treatment of HER2 amplified and triple negative breast cancers in vitro.

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