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Using Transfer Learning and Hierarchical Classifier to Diagnose Melanoma From Dermoscopic Images
2021
International Journal of Healthcare Information Systems and Informatics
The deadliest form of skin cancer is melanoma, and if detected in time, it is curable. Detection of melanoma using biopsy is a painful and time-consuming task. Alternate means are being used by medical experts to diagnose melanoma by extracting features from skin lesion images. Medical image diagnosis requires intelligent systems. Many intelligent systems based on image processing and machine learning have been proposed by researchers in the past to detect different kinds of diseases that are
doi:10.4018/ijhisi.20210401.oa4
fatcat:gu4a5llgx5a45m6ywui5lwxjre