Automatic segmentation and melanoma detection based on color and texture features in dermoscopic images.

S OukilR KasmiK MokraniBegonya Garcia Zapirain

Published in: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) (2021)

The final results show that the colors combined with texture are powerful and relevant attributes for melanoma detection and show improvement over the state of the art.

Keyphrases

deep learning
convolutional neural network
loop mediated isothermal amplification
label free
real time pcr
contrast enhanced
machine learning
skin cancer
computed tomography