Results 91 to 98 of about 13,419 (98)
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Dermoscopy and the experienced clinicians

International Journal of Dermatology, 2020
For several decades, melanoma diagnosis was based on symptoms rather than clinical features. In fact, until the 1970s melanoma was widely not recognized and only diagnosed when presenting as a large, ulcerated, and bleeding nodule. Today it is well known
C. Conforti   +5 more
semanticscholar   +1 more source

A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features

Biomedical Signal Processing and Control, 2023
Himanshu K. Gajera   +2 more
semanticscholar   +1 more source

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

IEEE Transactions on Medical Imaging, 2017
Lequan Yu   +4 more
semanticscholar   +1 more source

Implementation of noise and hair removals from dermoscopy images using hybrid Gaussian filter

Network Modeling Analysis in Health Informatics and Bioinformatics, 2021
V. Nyemeesha, B. MohammedIsmail.
semanticscholar   +1 more source

Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks

Comput. Methods Programs Biomed., 2018
M. A. Al-masni   +4 more
semanticscholar   +1 more source

Melanoma Classification on Dermoscopy Images Using a Neural Network Ensemble Model

IEEE Transactions on Medical Imaging, 2017
Feng-ying Xie   +5 more
semanticscholar   +1 more source

The diagnostic accuracy of dermoscopy for basal cell carcinoma: A systematic review and meta‐analysis

Journal of American Academy of Dermatology, 2019
O. Reiter   +6 more
semanticscholar   +1 more source

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