lesion classificationfeature combinationmelanomaBackground/Purpose: It is known that the standard features for lesion classification are ABCD features, that is, asymmetry, border irregularity, colour variegation and diameter of lesion. However, the observation that skin patterning tends to be disrupted by...
Quantitative ABCD parameters measured by a multispectral digital skin lesion analysis device for evaluation of suspicious pigmented lesions strongly correlate with clinical ABCD observationsdoi:10.1016/j.jaad.2017.04.826NoneJournal of the American Academy of Dermatology...
After the feature selection method, a skin lesion image is classified by the Support vector machine (SVM). The performance of segmentation has been assessed by evaluating the Jaccard Similarity Index (JSI), Dice similarity coefficient (DSC), sensitivity, specificity, and accuracy. The proposed SVM...
Classification of malignant melanoma and Benign Skin Lesion by using back propagation neural network and ABCD ruledoi:10.1109/iceice.2017.8191916A. RajeshIEEEInternational Conference on Electric Information and Control EngineeringKasmi R, Mokrani K. 2016. Classification of malignant melanoma and benign skin...
Classification of malignant melanoma and benign skin lesion by using back propagation neural network and ABCD ruleMelanomaABCD ruleArtificial Intelligence (AI)DermoscopyDistinctive human cancer could be a standout amongst the foremost dangerous disorder that is essentially caused by hereditary insecurity of ...
Classification of malignant melanoma and benign skin lesion by using back propagation neural network and ABCD ruledoi:10.1007/s10586-018-1798-7M. MonishaAlex SureshB. R. Tapas BapuM. R. RashmiSpringer USCluster Computing