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An Enhanced Deep Learning Method for Skin Cancer Detection and Classification

Computers, Materials & Continua 2022年第10期73卷 1109-1123页

作者： mohamed W.Abo El-Soud Tarek Gaber mohamed tahoun Abdullah Alourani Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Faculty of Computers and Informatics Suez Canal UniversityIsmailia41522Egypt School of Science Engineeringand EnvironmentUniversity of SalfordUK

The prevalence of melanoma skin cancer has increased in recent *** greatest risk from melanoma is its ability to broadly spread throughout the body by means of lymphatic vessels and ***,the early diagnosis of melanoma is a key factor in improving the prognosis of the *** learning makes it possible to design and develop intelligent systems that can be used in detecting and classifying skin lesions from visible-light *** systems can provide early and accurate diagnoses of melanoma and other types of skin *** paper proposes a new method which can be used for both skin lesion segmentation and classification *** solution makes use of Convolutional neural networks(CNN)with the architecture two-dimensional(Conv2D)using three phases:feature extraction,classification and *** proposed method is mainly designed for skin cancer detection and *** the public dataset International Skin Imaging Collaboration(ISIC),the impact of the proposed segmentation method on the performance of the classification accuracy was *** obtained results showed that the proposed skin cancer detection and classification method had a good performance with an accuracy of 94%,sensitivity of 92%and specificity of 96%.Also comparing with the related work using the same dataset,i.e.,ISIC,showed a better performance of the proposed method.

关键词： Convolution neural networks activation function separable convolution 2D batch normalization max pooling classification

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Determinants of Schistosoma mansoni transmission in hotspots at the late stage of elimination in Egypt

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Infectious Diseases of Poverty 2022年第5期11卷 95-96页

作者： Ramy mohamed Ghazy Walid Ismail Ellakany Mai M.Badr Nehad E.M.Taktak Heba Elhadad Sarah MAbdo Ayat Hagag Abdel Rahman Hussein mohamed Mostafa tahoun 不详 Department of Tropical Medicine Faculty of MedicineAlexandria UniversityAlexandriaEgypt

Background In certain settings,the prevalence and severity of schistosoma infection do not lessen despite repeated rounds of preventative chemotherapy;these areas are known as *** study aimed to investigate the role of human practices,besides environmental and malacological factors,in the maintenance of the Schistosoma mansoni infection transmission chain in hotspot areas in *** This cross-sectional study was conducted between July and November 2019 in Kafr El-Sheikh Governorate,Egypt.A pre-designed structured interviewing questionnaire was used to collect humanitarian *** samples were collected from children aged 6–15 years on three successive days and examined using the Kato-Katz ***,water and snail samples were taken from watercourses surrounding *** were identified based on their shell morphology and structure and tested for cercaria *** samples were analyzed for their physicochemical and biological *** A total of 2259 fecal samples(1113 in summer and 1146 in fall)were collected from 861 *** 46.9%of the participants were males,and 31.8%were aged 6–10 *** prevalence of *** infection was higher during the summer than during the fall(19.1%vs 7.2%,respectively,P<0.01).The intensity of infection(light,moderate,and heavy)during summer versus fall was(93.55 vs 89.38%,6.45 vs 8.85%,and 0.00%vs 1.77%),respectively(P<0.05).A higher prevalence of human infection was observed among males than females[OR=1.63,95%confidence interval(CI):1.10–2.40,P=0.015],children aged 11–15 years than among their counterparts aged 6–10 years(OR=2.96,95%CI:1.72–5.06,P<0.001),and mothers with a low level of education(OR=3.33,95%CI:1.70–6.52,P<0.001).The main identified risk factors were contacting the main body of water-canal for washing clothes(OR=1.81,95%CI:1.12–2.49,P=0.015),land irrigation(OR=2.56,95%CI:1.32–4.96,P=0.004),water collection(OR=2.94,95%CI:1.82–4.73,P<0.001),bathing(

关键词： Schistosoma mansoni Praziquantel Biomphalaria alexandrina Community engagement Transmission cycle Neglected tropical diseases

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