scholarly journals Potential Detection Application of Nodular Melanoma on Melanocytic Nevi Image Based on Android

2019 ◽  
Vol 8 (2) ◽  
pp. 6285-6290
Keyword(s):  
Skin Cancer ◽  
Decision Tree ◽  
Image Data ◽  
The Body ◽  
Classification Method ◽  
Rare Type ◽  
Nodular Melanoma ◽  
Melanocytic Nevi ◽  
Physical Form ◽  
Asymmetrical Shape

Nodular melanoma is a deadly rare type of skin cancer. Nodular Melanoma has characteristics asymmetrical shape, border irregularity, nonhomogeneous or has several color variations and the diameter is more than 6 millimeters. Nodular melanoma has a physical form similar to melanocytic nevi, therefore nodular melanoma can be detected from melanocytic nevi spread throughout the body. This research aims to detect nodular melanoma through melanocytic nevi by utilizing the android system in order to ease the user by using camera smartphone in detecting cancer. This application uses image processing and feature extraction of the ABCD method to process images with decision tree c4.5 classification method to detect potential of nodular melanoma diagnosis from melanocytic nevi image. The ABCD method is a medical method used to detect the possibility of skin cancer using 4 parameters including asymmetrical shape, border irregularity, color and diameter. Decision tree c4.5 is classification method that using entropy and gain to make rules of decision tree. The image data test is obtained from the results of the android-based smartphone camera shooting and from medical record. Output of this application is a diagnosis condition of melanocytic nevi is healthy or nodular melanoma potentially. The accuracy of this application is 97.5%

Formulation, Design and Development of Niosome Based Topical Gel for Skin Cancer

2017 ◽  
Vol 2 (3) ◽  
Keyword(s):  
Skin Cancer ◽  
Drug Release ◽  
Hemorrhagic Cystitis ◽  
The Body ◽  
Cancer Drug ◽  
Inversion Method ◽  
Body Parts ◽  
Basal Cells ◽  
Formulation Design ◽  
Topical Gel

Melanoma is the most dangerous type of skin cancer in which mostly damaged unpaired DNA starts mutating abnormally and staged an unprecedented proliferation of epithelial skin to form a malignant tumor. In epidemics of skin, pigment-forming melanocytes of basal cells start depleting and form uneven black or brown moles. Melanoma can further spread all over the body parts and could become hard to detect. In USA Melanoma kills an estimated 10,130 people annually. This challenge can be succumbed by using the certain anti-cancer drug. In this study design, cyclophosphamide were used as a model drug. But it has own limitation like mild to moderate use may cause severe cytopenia, hemorrhagic cystitis, neutropenia, alopecia and GI disturbance. This is a promising challenge, which is caused due to the increasing in plasma drug concentration above therapeutic level and due to no rate limiting steps involved in formulation design. In this study, we tried to modify drug release up to threefold and extended the release of drug by preparing and designing niosome based topical gel. In the presence of Dichloromethane, Span60 and cholesterol, the initial niosomes were prepared using vacuum evaporator. The optimum percentage drug entrapment efficacy, zeta potential, particle size was found to be 72.16%, 6.19mV, 1.67µm.Prepared niosomes were further characterized using TEM analyzer. The optimum batch of niosomes was selected and incorporated into topical gel preparation. Cold inversion method and Poloxamer -188 and HPMC as core polymers, were used to prepare cyclophosphamide niosome based topical gel. The formula was designed using Design expert 7.0.0 software and Box-Behnken Design model was selected. Almost all the evaluation parameters were studied and reported. The MTT shows good % cell growth inhibition by prepared niosome based gel against of A375 cell line. The drug release was extended up to 20th hours. Further as per ICH Q1A (R2), guideline 6 month stability studies were performed. The results were satisfactory and indicating a good formulation approach design was achieved for Melanoma treatment.

A Comprehensive Review on Nanotechnology-Based Innovations in Topical Drug Delivery for the Treatment of Skin Cancer

2020 ◽  
Vol 26 (44) ◽  
pp. 5720-5731 ◽  
Author(s):  
Arun Singh Lalotra ◽  
Vishesh Singh ◽  
Bharat Khurana ◽  
Shelly Agrawal ◽  
Shubham Shrestha ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Cell Carcinoma ◽  
Systemic Exposure ◽  
Chemotherapeutic Agents ◽  
The Body ◽  
Toxic Substances ◽  
Abnormal Growth ◽  
Dermal Layer ◽  
Therapeutic Benefits ◽  
Carrier Systems

Background: Skin is the largest organ of the body and helps to regulate several physiological functions. It acts as a barrier that protects the body against UV-radiation, toxic substances, infections, etc. The abnormal growth of the skin cells is called skin cancer. Different types of skin cancer can be classified as Basal Cell Carcinoma (BCC) and Squamous Cell Carcinoma (SCC); which mainly occur due to chronic exposure to UV- sunlight and pollution. Methods: The conventional topical treatments of skin cancer such as cream, gel, ointment, etc., are more occlusive and thus they do not penetrate deep into the skin (dermal layer) and remain at the upper part of the skin (epidermal layer). The stratum corneum acts as a physiological barrier for the drug-loaded in the conventional formulation. The novel carrier systems have the potential to facilitate the penetration of the drug deep into the skin (dermal layer) because these have less size and higher flexibility than conventional treatment. Conclusion: In the present review, we have discussed various novel carrier systems being investigated for the topical application of chemotherapeutic agents for efficient skin targeting and better dermatological as well as therapeutic benefits with minimal systemic exposure and toxicity.

Novel Nanolipoidal Systems for the Management of Skin Cancer

2020 ◽  
Vol 14 (2) ◽  
pp. 108-125
Author(s):  
Apoorva Singh ◽  
Nimisha
Keyword(s):  
Skin Cancer ◽  
Survival Rates ◽  
Cancer Therapeutics ◽  
The Body ◽  
Surgical Removal ◽  
The Novel ◽  
Skin Cancers ◽  
Recent Developments ◽  
Abnormal Cells ◽  
The Stability

: Skin cancer, among the various kinds of cancers, is a type that emerges from skin due to the growth of abnormal cells. These cells are capable of spreading and invading the other parts of the body. The occurrence of non-melanoma and melanoma, which are the major types of skin cancers, has increased over the past decades. Exposure to ultraviolet radiations (UV) is the main associative cause of skin cancer. UV exposure can inactivate tumor suppressor genes while activating various oncogenes. The conventional techniques like surgical removal, chemotherapy and radiation therapy lack the potential for targeting cancer cells and harm the normal cells. However, the novel therapeutics show promising improvements in the effectiveness of treatment, survival rates and better quality of life for patients. Different methodologies are involved in the skin cancer therapeutics for delivering the active ingredients to the target sites. Nano carriers are very efficient as they have the ability to improve the stability of drugs and further enhance their penetration into the tumor cells. The recent developments and research in nanotechnology have entitled several targeting and therapeutic agents to be incorporated into nanoparticles for an enhancive treatment of skin cancer. To protect the research works in the field of nanolipoidal systems various patents have been introduced. Some of the patents acknowledge responsive liposomes for specific targeting, nanocarriers for the delivery or co-delivery of chemotherapeutics, nucleic acids as well as photosensitizers. Further recent patents on the novel delivery systems have also been included here.

Norwegian or Crusted Sarcoptic Mange in Two Leishmanial Dogs

2017 ◽  
Vol 53 (6) ◽  
pp. 326-330
Author(s):  
Flora Kaltsogianni ◽  
Rania Farmaki ◽  
Alexander F. Koutinas
Keyword(s):  
Complete Resolution ◽  
Nutritional Support ◽  
Antibody Test ◽  
Skin Lesions ◽  
The Body ◽  
End Stage Kidney Disease ◽  
Rare Type ◽  
End Stage ◽  
Crusted Scabies ◽  
Immunofluorescent Antibody Test

ABSTRACT Norwegian or crusted scabies (N/CS) is a rare skin disease with very few cases reported in the dog or the cat. Two adult, stray dogs were admitted in our clinic with a generalized, multifocal to diffuse and nonpruritic dermatitis that was characterized by severe crusting, scaling, and ulceration. In both instances, leishmaniosis and N/CS were diagnosed by immunofluorescent antibody test serology, lymph node cytology, and skin scrapings in which high numbers of Sarcoptes mites were found. The combination of miticidal and antileishmanial treatment, supported by topical treatment and nutritional support, resulted in the complete resolution of the skin lesions and spectacular improvement of the body condition in both cases. Dog 1 eventually died from end-stage kidney disease attributed to leishmaniosis-associated glomerulonephritis, whereas the also proteinuric dog 2 remains clinically healthy. The manifestation of the rare type of N/CS in these dogs could be attributed to cell-mediated immunosuppression, which was most likely induced by leishmaniosis and malnutrition. The necessity of searching for leishmaniosis in those scabietic cases, especially in the endemic areas of leishmaniosis, is strongly recommended.

The Coupling Effect between Aerobic Exercise and Physical & Form of the Youth

2012 ◽  
Vol 155-156 ◽  
pp. 1127-1131
Author(s):  
Yan Chen ◽  
Ai Min Qin ◽  
Bo Su
Keyword(s):  
Body Composition ◽  
Aerobic Exercise ◽  
Coupling Effect ◽  
The Body ◽  
Function Measurement ◽  
Cardiopulmonary Function ◽  
Physical Form ◽  
Experiment Method ◽  
Physical Effects ◽  
Young Students

Aerobics can through the big load workout, consumption of excess fat in the body, the body form and body composition have greatly improved, and this can help shape and size of the strong and handsome youth healthy physique. The author through the contrast experiment method to young students body composition and cardiopulmonary function measurement, in order to understand the aerobic exercise to young students' physical effects. The results showed that after aerobic exercise of young students measurements close to our country race standards; BMI, WHR, body fat rate are significantly lower; Cardiopulmonary function increase apparently.

Spam classification: a comparative analysis of different boosted decision tree approaches

2018 ◽  
Vol 20 (3) ◽  
pp. 298-105 ◽  
Author(s):  
Shrawan Kumar Trivedi ◽  
Prabin Kumar Panigrahi
Keyword(s):  
Decision Tree ◽  
False Positive ◽  
False Positive Rate ◽  
False Negative ◽  
The Body ◽  
Content Type ◽  
Performance Accuracy ◽  
Tree Classifier ◽  
Boosted Decision Tree ◽  
Email Spam

PurposeEmail spam classification is now becoming a challenging area in the domain of text classification. Precise and robust classifiers are not only judged by classification accuracy but also by sensitivity (correctly classified legitimate emails) and specificity (correctly classified unsolicited emails) towards the accurate classification, captured by both false positive and false negative rates. This paper aims to present a comparative study between various decision tree classifiers (such as AD tree, decision stump and REP tree) with/without different boosting algorithms (bagging, boosting with re-sample and AdaBoost).Design/methodology/approachArtificial intelligence and text mining approaches have been incorporated in this study. Each decision tree classifier in this study is tested on informative words/features selected from the two publically available data sets (SpamAssassin and LingSpam) using a greedy step-wise feature search method.FindingsOutcomes of this study show that without boosting, the REP tree provides high performance accuracy with the AD tree ranking as the second-best performer. Decision stump is found to be the under-performing classifier of this study. However, with boosting, the combination of REP tree and AdaBoost compares favourably with other classification models. If the metrics false positive rate and performance accuracy are taken together, AD tree and REP tree with AdaBoost were both found to carry out an effective classification task. Greedy stepwise has proven its worth in this study by selecting a subset of valuable features to identify the correct class of emails.Research limitations/implicationsThis research is focussed on the classification of those email spams that are written in the English language only. The proposed models work with content (words/features) of email data that is mostly found in the body of the mail. Image spam has not been included in this study. Other messages such as short message service or multi-media messaging service were not included in this study.Practical implicationsIn this research, a boosted decision tree approach has been proposed and used to classify email spam and ham files; this is found to be a highly effective approach in comparison with other state-of-the-art modes used in other studies. This classifier may be tested for different applications and may provide new insights for developers and researchers.Originality/valueA comparison of decision tree classifiers with/without ensemble has been presented for spam classification.

scholarly journals Skin Cancer Detection and Classification using KNN Technique

2021 ◽  
Vol 9 (VI) ◽  
pp. 3520-3527
Author(s):  
Apeksha R Swamy
Keyword(s):  
Skin Cancer ◽  
Cancer Detection ◽  
Nearest Neighbor ◽  
Early Stage ◽  
The Body ◽  
K Nearest Neighbor ◽  
Fast Evaluation ◽  
Efficient Treatment ◽  
Medical Computer ◽  
Skin Cancer Detection

Skin cancer is a major health issue worldwide. Skin cancer detection at an early stage is key for an efficient treatment. Lately, it is popular that, deadly form of skin cancer among the other types of skin cancer is melanoma because it's much more likely to spread to other parts of the body if not identified and treated early. The advanced medical computer vision or medical image processing take part in increasingly significant role in clinical detection of different diseases. Such method provides an automatic image analysis device for an accurate and fast evaluation of the sore. The steps involved in this project are collecting skin cancer images from PH2 database, preprocessing, segmentation using thresholding, feature extraction and then classification using K-Nearest Neighbor technique (KNN). The results show that the achieved classification accuracy is 92.7%, Sensitivity 100% and 84.44% Specificity.

scholarly journals Multi-Temporal Data Fusion in MS and SAR Images Using the Dynamic Time Warping Method for Paddy Rice Classification

Agriculture ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 77
Author(s):  
Tsu Chiang Lei ◽  
Shiuan Wan ◽  
You Cheng Wu ◽  
Hsin-Ping Wang ◽  
Chia-Wen Hsieh
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Decision Tree ◽  
Data Fusion ◽  
Dynamic Time Warping ◽  
Image Data ◽  
Synthetic Aperture ◽  
Time Warping ◽  
Radar Images ◽  
Dynamic Time

This study employed a data fusion method to extract the high-similarity time series feature index of a dataset through the integration of MS (Multi-Spectrum) and SAR (Synthetic Aperture Radar) images. The farmlands are divided into small pieces that consider the different behaviors of farmers for their planting contents in Taiwan. Hence, the conventional image classification process cannot produce good outcomes. The crop phenological information will be a core factor to multi-period image data. Accordingly, the study intends to resolve the previous problem by using three different SPOT6 satellite images and nine Sentinel-1A synthetic aperture radar images, which were used to calculate features such as texture and indicator information, in 2019. Considering that a Dynamic Time Warping (DTW) index (i) can integrate different image data sources, (ii) can integrate data of different lengths, and (iii) can generate information with time characteristics, this type of index can resolve certain classification problems with long-term crop classification and monitoring. More specifically, this study used the time series data analysis of DTW to produce “multi-scale time series feature similarity indicators”. We used three approaches (Support Vector Machine, Neural Network, and Decision Tree) to classify paddy patches into two groups: (a) the first group did not apply a DTW index, and (b) the second group extracted conflict predicted data from (a) to apply a DTW index. The outcomes from the second group performed better than the first group in regard to overall accuracy (OA) and kappa. Among those classifiers, the Neural Network approach had the largest improvement of OA and kappa from 89.51, 0.66 to 92.63, 0.74, respectively. The rest of the two classifiers also showed progress. The best performance of classification results was obtained from the Decision Tree of 94.71, 0.81. Observing the outcomes, the interference effects of the image were resolved successfully by various image problems using the spectral image and radar image for paddy rice classification. The overall accuracy and kappa showed improvement, and the maximum kappa was enhanced by about 8%. The classification performance was improved by considering the DTW index.

scholarly journals Hukum Penggunaan Aplikasi FaceApp dalam Perspektif Hukum Islam

2020 ◽  
Vol 1 (3) ◽  
pp. 484-504
Author(s):  
Muhammad Yusram ◽  
Askar Patahuddin ◽  
Ahmad Risal
Keyword(s):  
Neural Networks ◽  
Content Analysis ◽  
The Body ◽  
Islamic Perspective ◽  
Research Technique ◽  
Library Research ◽  
Physical Form ◽  
Descriptive Qualitative

This study aims to determine the legal use of the FaceApp application in terms of the Qur'an, sunnah, and opinions of the scholars, as well as its relation to the problem of changing God's creation. This study uses descriptive-qualitative with content analysis and library research technique. The results showed that: first, FaceApp is an application that can change face photos using technology in the form of neural networks that automatically produce very realistic facial transformations in photographs. The opinions of the scholars in the matter of changing God's creation are: 1) neutering humans and animals ; 2) changing physical form; 3) make a tattoo on the body; 4) change the religion of God. Second, the legal use of the FaceApp application in an Islamic perspective by the scholars was divided into two: some scholars banned the use of the FaceApp application and others allowed it. Nevertheless, the majority of the scholars chose to forbid it, based on the evidence in the Qur'an and related hadith and the number of violations and harms posed by this application.

Sign in / Sign up

Export Citation Format

Share Document