GitHub / Awrsha / Skin_Cancer
This project aims to develop a deep learning model for the detection of skin cancer from dermoscopic images. The model utilizes convolutional neural networks (CNNs), specifically the ResNet50 architecture, to classify images into two classes: benign and malignant.
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PURL: pkg:github/Awrsha/Skin_Cancer
Fork of MHosseinHashemi/Skin_Cancer
Stars: 1
Forks: 0
Open issues: 0
License: apache-2.0
Language: Jupyter Notebook
Size: 3.92 MB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: cancer-classification, classification, convoloutional-neural-networks, melanoma-classification, multigpu, resnet-50, sensivity, specificity-matrices