NEW CHARACTERIZATION METHODOLOGY FOR SKIN TUMORS CLASSIFICATION

2010 ◽  
Vol 10 (03) ◽  
pp. 467-477 ◽  
Author(s):  
M. MESSADI ◽  
A. BESSAID ◽  
A. TALEB-AHMED
Keyword(s):  
Neural Network ◽  
Benign Tumor ◽  
Malignant Tumors ◽  
Skin Tumors ◽  
Skin Tumor ◽  
Benign Lesions ◽  
Malignant Skin ◽  
Textural Parameters ◽  
Tumors Classification ◽  
Related Mortality

Our objective in this paper is to introduce the efficacies of texture in the interpretation of color skin images. Melanoma is the most malignant skin tumor, growing in melanocytes, the cells responsible for pigmentation. This type of cancer is nowadays increasing rapidly; its related mortality rate increases by more modest and inversely proportional to the thickness of the tumor. This rate can be decreased by an earlier detection and better prevention. Using the features of skin tumors, such as color, symmetry, and border regularity, an attempt is made to determinate if the skin tumor is a melanoma or a benign tumor. In this work, we are interested by adding to form parameters such as the asymmetry (A) and the shape irregularities of skin tumors (B), the textural parameters to estimate colors in dermatoscopic images. In this case, the images are analyzed using textural parameters computed in several directions. These parameters and the form parameters are added to obtain a better classification results. A statistical analysis is performed over these ratios to select the most highly discriminating textural parameters. The method has been tested successfully on 144 images and we found significant differences between the lesions (melanoma and benign). Finally, these parameters (form and parameters of texture selected) are only use to classify the benign and malignancy of the skin lesion. A multilayer neural network is employed to differentiate between malignant tumors and benign lesions.

scholarly journals THE ALGORITHM OF PROVIDING MEDICAL PREVENTIVE CARE OF PATIENTS OF RISK GROUP OF DEVELOPMENT OF MALIGNANT TUMORS OF SKIN

2019 ◽  
Vol 61 (5) ◽  
pp. 257-262
Author(s):  
M. A. Ufimtseva ◽  
Alexandra S. Shubina ◽  
N. L. Struin ◽  
V. V. Petkau ◽  
D. E. Emel’Yanov ◽  
...  
Keyword(s):  
Medical Care ◽  
Preventive Care ◽  
Malignant Tumors ◽  
Risk Group ◽  
Risk Groups ◽  
Skin Tumors ◽  
Skin Tumor ◽  
Visual Localization ◽  
Malignant Skin Tumors ◽  
Malignant Skin

The malignant skin tumors are neoplasms of visual localization and their diagnostic is extremely complicated because of diversity of their clinical forms. Among all skin malignant tumors, a melanoma holds a particular place being socially important problem because of high level of lethality related to significant metastatic potential of tumor and lower efficiency of therapy of later forms of disease. The article describes development and implementation of algorithm of rendering medical preventive care to patients of risk group of development of malignant skin tumor on the basis of investigation of actual epidemiological situation with morbidity of basalioma, melanoma, squamous cell carcinoma of skin in population of the Sverdlovsk region during 2000-2015 and detection of factors conditioning late diagnostic of malignant skin tumors. According to actual epidemiological data, an increasing of morbidity of both melanoma and other malignant skin tumors is observed in the Russian Federation on the whole and in the Sverdlovsk region. The article pays attention to that physicians of various specialties are to timely send patients of risk groups or with «suspicious» neoplasms to dermatovenerologist to specify character of neoplasm and to resolve issue concerning necessity of dispensary observation. The necessity is noted of tighter interaction of dermatoverologists and oncologists. Thereby, implementation of algorithm of rendering medical care to patients of risk groups of malignant skin tumors in the Sverdlovsk region promotes increasing of quality and accessibility of medical care to population, earlier detection of patients, decreasing of load of oncologic service by non-profile patients.

SEGMENTATION OF DERMATOSCOPIC IMAGES USED FOR COMPUTER-AIDED DIAGNOSIS OF MELANOMA

2010 ◽  
Vol 10 (02) ◽  
pp. 213-223
Author(s):  
MHAMMED MESSADI ◽  
ABDELHAFID BESSAID ◽  
A. TALEB-AHMED
Keyword(s):  
Methodological Approach ◽  
Region Growing ◽  
Skin Lesions ◽  
Skin Tumor ◽  
Border Detection ◽  
Fast Approach ◽  
Malignant Skin ◽  
Pigmented Skin Lesions ◽  
Aided Diagnosis ◽  
Related Mortality

In this paper, a methodological approach to the segmentation of tumours skin lesions in dermoscopy images is presented. Melanoma is the most malignant skin tumor, growing in melanocytes, the cells responsible for pigmentation. This type of cancer is nowadays increasing rapidly, its related mortality rate increases by more modest and inversely proportional to the thickness of the tumor. This rate can be decreased by an earlier detection and better prevention. In dermatoscopic images, the segmentation is essential to characterize the information shape of the lesion and also to locate the tumor for analysis. In this domain, we have evaluated several techniques for the segmentation of dermatoscopic images. All these methods do not exactly separate the lesion from the background. In this work a fast approach in border detection of dermoscopy pigmented skin lesions images based on the region growing algorithm is presented. This method is tested on a set of 60 dermoscopy images. The obtained results show that the presented method achieves both fast and accurate border detection.

scholarly journals The genetic basis of susceptibility to leukemia induction in mice by 3-methylcholanthrene applied percutaneously.

1978 ◽  
Vol 147 (2) ◽  
pp. 459-469 ◽  
Author(s):  
M L Duran-Reynals ◽  
F Lilly ◽  
A Bosch ◽  
K J Blank
Keyword(s):  
Genetic Basis ◽  
Tumor Response ◽  
Malignant Tumors ◽  
Skin Tumors ◽  
Skin Tumor ◽  
Aryl Hydrocarbon Hydroxylase ◽  
Aryl Hydrocarbon ◽  
High Incidence ◽  
High Level ◽  
Skin Painting

Susceptibility to leukemia induction in mice by skin painting with 3-methylcholanthrene (MCA) is strain-specific, occurring only in strains relatively resistant to MCA-induced skin tumors. The Ah locus, which has a dominant allele (Ahb) for inducibility of the aryl hydrocarbon hydroxylase (AHH) enzyme system and a recessive allele (Ahd) for noninducibility, appears to be the major determinant of this trait. MCA-painted mice of strains and crosses carrying the Ahb allele usually show a high incidence of skin tumors (papillomas which may evolve into malignant tumors) and little or no leukemia, whereas in mice homozygous for the Ahd allele the treatment usually induces a high incidence of leukemia and few or no skin tumors. Among mice of a segregating backcross generation including both Ahb/Ahd heterozygotes and Ahd homozygotes, the occurrence of skin tumors was correlated directly with AHH inducibility and inversely with the leukemic response. Mice of Ahb strains with a high level of endogenous murine leukemia (MuLV) expression (C58, PL) show a much weaker skin tumor response than expected but no increase in leukemia incidence, and this observation tends to confirm the previous finding that MuLV infection of mice of low-MuLV strains results in reduced susceptibility to MCA tumorigenesis.

scholarly journals Interdisciplinary model of patient care for groups at risk for malignant tumors of the skin

2019 ◽  
Vol 18 (3) ◽  
pp. 238-244
Author(s):  
M. A. Ufimtseva ◽  
A. S. Shubina ◽  
V. V. Petkau ◽  
N. L. Struin ◽  
D. E. Emel'janov ◽  
...  
Keyword(s):  
At Risk ◽  
Skin Cancer ◽  
Malignant Tumors ◽  
Descriptive Study ◽  
Skin Tumors ◽  
Dysplastic Nevi ◽  
Malignant Skin Tumors ◽  
Malignant Skin ◽  
Patients At Risk ◽  
Interdisciplinary Interaction

Introduction. Malignant skin tumors (MST) are an important interdisciplinary problem. Neoplasia data refer to tumors of apparent localization, therefore, they are found in the clinical practice of doctors of different profiles. The duration of the diagnostic period, as well as the prognosis, depends on the coordinated work of specialists.Aim. Development, implementation and evaluation of the effectiveness of an interdisciplinary model for managing patients at risk for malignant skin tumors.Materials and methods. A descriptive study included a study of the proportion of people at risk for developing MST, the nosological structure of the revealed MST among patients referred to the dermatological oncology room of the Sverdlovsk Regional Dermatovenerologic Dispensary for the period from 01.01.2016 to 31.12.2017 (total 3,275 patients), as well as 208 patients examined in the Sverdlovsk Regional Oncology Dispensary (SROD). The data of the “ONKOR” regional oncological information system were used.Results. An interdisciplinary model of managing patients at risk has been developed, including patient routing andtraining of specialists in various fields. As a result of the implementation of the model, 208 patients were examined, 208 of whom were diagnosed with skin cancer, 123 of whom had skin cancer, 11 cases of melanoma, Kaposi’s sarcoma in 2 cases, skin lymphomas in 4 patients, lymphosarcoma in 1 patient, amounted to 67.8% of the diagnoses of MST confirmed in the Sverdlovsk Regional Dermatovenerologic Dispensary of the Sverdlovsk Regional Oncology Dispensary. 9.6% of patients had dysplastic nevi, confirmed histologically. 1987 patients at risk of developing MST were taken under the dispensary observation by a dermatologist and venereologist.Conclusion. Тhe introduction of the algorithm of interdisciplinary interaction contributes to the improvement of the quality and accessibility of medical care to the population, the identification of patients at risk for the occurrence of MST, reducing the burden of non-core patients on oncology services. 

scholarly journals Histomorphologic Profile of Skin Tumors

2018 ◽  
Vol 56 (214) ◽  
pp. 953-957
Author(s):  
Rupendra Thapa ◽  
Pranita Gurung ◽  
Suspana Hirachand ◽  
Sanju Babu Shrestha
Keyword(s):  
Malignant Tumors ◽  
Histopathological Examination ◽  
Cross Sectional Study ◽  
Accurate Diagnosis ◽  
Skin Tumors ◽  
Excision Biopsy ◽  
Cross Sectional ◽  
Prognostic Assessment ◽  
Malignant Skin ◽  
Haematoxylin And Eosin Stain

Introduction: Skin tumors are not uncommon in the Nepalese community. Accurate diagnosis and categorization of these into different types is important because of its effect on prognosis and management. We conducted this study to find out the frequency of different histological types of skin tumors, correlate with their clinicopathologic profile and to determine the stage of malignant tumors.Methods: This is a descriptive cross-sectional study of skin tumors during the period February 2015 to January 2017. All the patients who were subjected to skin biopsy for skin tumors were included in this study. The biopsies taken were fixed in 10% formalin and then processed. Four microns thick sections were taken and stained with Haematoxylin and Eosin stain (H&E). Results: Total of 108 cases of skin tumors were included of which 68 (62.97%) cases were histologically diagnosed as benign and 40 (37.03%) cases were diagnosed as malignant tumors. Keratinocytic tumors were predominant among both benign and malignant skin tumors.Conclusions: Histopathological examination is the gold standard for accurate diagnosis and prognostic assessment of the patient. Staging of the malignant tumors in excision biopsy specimen needs to be emphasized since it is a predictor of prognosis.

scholarly journals Localization on the palmar face of the hand of a Darier-Ferrand dermatofiborosarcoma. About a case

2021 ◽  
Vol 2 (2) ◽  
pp. 65-69
Author(s):  
Razaka AI ◽  
Jean Baptiste Ramampisendrahova ◽  
Rohimpitiavana HAS ◽  
Razafimahandry HJC
Keyword(s):  
Adjuvant Chemotherapy ◽  
Slow Growth ◽  
Surgical Excision ◽  
Metastatic Potential ◽  
Skin Tumors ◽  
Skin Tumor ◽  
Left Hand ◽  
Malignant Skin Tumors ◽  
Malignant Skin ◽  
Unusual Variant

Darier-Ferrand dermatofibrosarcoma is a rare but not exceptional malignant mesenchymal skin tumor, representing 0.1 % of malignant skin tumors. It is characterized by high recurrence, slow growth and low metastatic potential. Although several clinical cases of an unusual variant of Darier-Ferrand dermatofibrosarcoma have been reported in the literature, localization on the palmar face of the hand is not common. We report a case of Darier and Ferrand dermatofibrosarcoma at the level of the fourth commissure of the palm of the left hand in a 43- year-old young Malagasy adult treated by a large surgical excision with a healthy margin of two centimeters associated with adjuvant chemotherapy with Imatinib.

The use of Integra dermal regeneration matrix in the surgical treatment of a recurrent, extensive malignant skin lesion in the temporal region

2013 ◽  
Vol 154 (6) ◽  
pp. 225-227 ◽  
Author(s):  
Csaba Halmy ◽  
Zoltán Nádai ◽  
Krisztián Csőre ◽  
Adrienne Vajda ◽  
Róbert Tamás
Keyword(s):  
Surgical Treatment ◽  
Skin Lesion ◽  
Surgical Management ◽  
Skin Grafting ◽  
Skin Tumor ◽  
Temporal Region ◽  
Aesthetic Result ◽  
Malignant Skin ◽  
Dermal Regeneration Template ◽  
Dermal Regeneration

Authors report on the use of Integra dermal regeneration template after excision of an extended, recurrent skin tumor in the temporal region. The area covered with Integra was 180 cm2. Skin grafting to cover Integra was performed on the 28th day. Both Integra and the skin transplant were taken 100%. Integra dermal regeneration template can provide good functional and aesthetic result in the surgical management of extended skin tumors over the skull. Orv. Hetil., 2013, 154, 225–227.

Current Progresses of Functional Nanomaterials for Imaging Diagnosis and Treatment of Melanoma

2019 ◽  
Vol 19 (27) ◽  
pp. 2494-2506 ◽  
Author(s):  
Congcong Zhu ◽  
Yunjie Zhu ◽  
Huijun Pan ◽  
Zhongjian Chen ◽  
Quangang Zhu
Keyword(s):  
Treatment Options ◽  
Skin Tumor ◽  
Diagnosis And Treatment ◽  
Chemotherapeutic Drugs ◽  
Imaging Diagnosis ◽  
Functional Nanomaterials ◽  
Disease Prognosis ◽  
Unsuccessful Treatment ◽  
Short Period ◽  
Malignant Skin

Melanoma is a malignant skin tumor that results in poor disease prognosis due to unsuccessful treatment options. During the early stages of tumor progression, surgery is the primary approach that assures a good outcome. However, in the presence of metastasis, melanoma hasbecome almost immedicable, since the tumors can not be removed and the disease recurs easily in a short period of time. However, in recent years, the combination of nanomedicine and chemotherapeutic drugs has offered promising solutions to the treatment of late-stage melanoma. Extensive studies have demonstrated that nanomaterials and their advanced applications can improve the efficacy of traditional chemotherapeutic drugs in order to overcome the disadvantages, such as drug resistance, low drug delivery rate and reduced targeting to the tumor tissue. In the present review, we summarized the latest progress in imaging diagnosis and treatment of melanoma using functional nanomaterials, including polymers, liposomes, metal nanoparticles, magnetic nanoparticles and carbon-based nanoparticles. These nanoparticles are reported widely in melanoma chemotherapy, gene therapy, immunotherapy, photodynamic therapy, and hyperthermia.

scholarly journals Cloud based mobile solution for early detection of Skin Cancer using Artificial Intelligence

2021 ◽  
pp. 312-324
Author(s):  
Pawan Sonawane ◽  
Sahel Shardhul ◽  
Raju Mendhe
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Skin Cancer ◽  
Early Detection ◽  
Transfer Learning ◽  
Network Model ◽  
Neural Network Model ◽  
Mobile Application ◽  
Low Cost ◽  
Skin Tumors

The vast majority of skin cancer deaths are from melanoma, with about 1.04 million cases annually. Early detection of the same can be immensely helpful in order to try to cure it. But most of the diagnosis procedures are either extremely expensive or not available to a vast majority, as these centers are concentrated in urban regions only. Thus, there is a need for an application that can perform a quick, efficient, and low-cost diagnosis. Our solution proposes to build a server less mobile application on the AWS cloud that takes the images of potential skin tumors and classifies it as either Malignant or Benign. The classification would be carried out using a trained Convolution Neural Network model and Transfer learning (Inception v3). Several experiments will be performed based on Morphology and Color of the tumor to identify ideal parameters.

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