Topic: skin-lesions Goto Github
Some thing interesting about skin-lesions
Some thing interesting about skin-lesions
skin-lesions,Detection of skin lesions (among 7 classes) using the file https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DBW86T and using the pytorch resnet model. The success rate for the specific test file (unseen data) that comes with the download file is 81.13%.
User: ablanco1950
skin-lesions,Improving generalization via style transfer-based data augmentation: Novel regularization method
User: agamiko
skin-lesions,This project aims to use a convolutional neural network (CNN) to classify 7 classes of skin lesions.
User: akaashsidhu
skin-lesions,This repository contains an implementation of a DCGAN and a SNGAN for image generation. More precisely, it is dedicated to artificial image synthesis in the context of medical imaging data.
User: alexismolinamr
skin-lesions,Official code for our paper - "Melanoma classification from dermatoscopy images using knowledge distillation for highly imbalanced data".
User: anil-adepu
skin-lesions,This repo includes classifier trained to distinct 7 type of skin lesions
User: deveshsangwan
skin-lesions,Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions
User: laurentveyssier
skin-lesions,Skin lesion feature extraction and classification.
User: mohammed-amr
skin-lesions,Skin Cancer detection with help of CCN
User: taifqureshi
skin-lesions,Melanoma Skin Cancer Classification using Pytorch and Web App using Streamlit
User: thelethargicowl
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