Automated Skin Cancer Diagnosis and Localization Using Deep Reinforcement Learning
Author:
Affiliation:
1. Dept of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai, India
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/03772063.2023.2291805
Reference35 articles.
1. Region Extraction and Classification of Skin Cancer: A Heterogeneous framework of Deep CNN Features Fusion and Reduction
2. Skin cancer detection: Applying a deep learning based model driven architecture in the cloud for classifying dermal cell images
3. MFSNet: A multi focus segmentation network for skin lesion segmentation
4. Unit-vise: Deep Shallow Unit-Vise Residual Neural Networks with Transition Layer For Expert Level Skin Cancer Classification
5. Multi-Class Skin Lesion Detection and Classification via Teledermatology
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