The Fast and Accurate Approach to Detection and Segmentation of Melanoma Skin Cancer using Fine-tuned Yolov3 and SegNet Based on Deep Transfer Learning. (arXiv:2210.05167v1 [eess.IV])

Melanoma is one of the most serious skin cancers that can occur in any part
of the human skin. Early diagnosing melanoma lesions will significantly
increase their chances of being cured. Improving melanoma segmentation will
help doctors or surgical robots remove the lesion more accurately from body
parts. Recently, the learning-based segmentation methods achieved desired
results in image segmentation compared to traditional algorithms. This study
proposes a new method to improve melanoma skin lesions detection and
segmentation by defining a …

arxiv cancer detection segmentation skin cancer transfer transfer learning