Skin cancer is one of the most severe diseases, and medical imaging among main tools for diagnosis. The images provide information on evolutionary stage, size, location tumor lesions. This paper focuses classification skin lesion considering a framework four experiments to analyze performance Convolutional Neural Networks (CNNs) in distinguishing different CNNs are based transfer learning, taki...

conclusion in breast cancer after nac, the lesion t2 relaxation time was reduced in the responders, and this finding is potentially useful to assess the response to nac. results in 26 cases with nac, the mean lesion t2 relaxation time before nac was 81.34 ± 13.68 ms, compared with 64.50 ± 8.71 ms after nac. significant differences in the lesion t2 relaxation times existed between the pre- and p...

BACKGROUND/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 malignant but not by benign skin lesions suggests that measurements of skin pattern disruption on simply captured white light optical skin ...