Skin cancer is a worldwide epidemic. A computerised instrument allows spotting small shifts to change the skin's functionality in an early stage. This paper utilises Convolutional Neural Network (CNN) to identify skin cancers Theattained results demonstrate that the CNN method can effectively identify melanoma and benign cases from X-ray images. This work can help doctors to diagnose cancer in the skin in an initial stage and treat it successfully.
Skin cancer;image classification;Deep learning; CNN; Machine learning
Advancing Our Understanding of Brain Disorders: Research Using Postmortem Brain Tissue.
Curtis MA, Vedam-Mai V
Methods in molecular biology (Clifton, N.J.). 2022; 2389(): 201-208
Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data.
Hu R, Gan J, Zhu X, Liu T, Shi X
Information processing & management. 2022; 59(1): 102782
A sensitive electrochemiluminescence biosensor for assay of cancer biomarker (MMP-2) based on NGQDs-Ru@SiO2 luminophore.
Fan X, Wang S, Liu H, Li Z, Sun Q, Wang Y, Fan X
Talanta. 2022; 236(): 122830
Hypoxia and Proton microbeam: Role of Gap Junction Intercellular Communication in Inducing Bystander Responses on Human Lung Cancer Cells and Normal Cells.
Autsavapromporn N, Kobayashi A, Liu C, Jaikang C, Ahmad TAT, Oikawa M, Konishi T
Radiation research. 2022; ():
Blueprints for Constructing Microgravity Analogs.
Methods in molecular biology (Clifton, N.J.). 2022; 2368(): 215-232