Ecosyste.ms: Repos

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GitHub topics: melanoma-classification

amesh-jayaweera/melanoma-detection-api

Melanoma Detection Tool : REST APIs

Language: Python - Size: 9.84 MB - Last synced: about 1 month ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

amesh-jayaweera/melanoma-detection-tool

Melanoma Detection Tool : Website

Language: CSS - Size: 40.2 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

amesh-jayaweera/melanoma-diagnosis-analysis

Melanoma Skin Cancer Diagnosis based on Dermoscopic Features and DNA Mutations

Language: Jupyter Notebook - Size: 57.6 MB - Last synced: about 1 month ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0

IsuruSankhajith/medicare_FLASK_API

This is a final-year project backend primarily focused on image classification for melanoma skin cancer. I have implemented a Convolutional Neural Network (CNN) AI model for this purpose.

Language: Python - Size: 31.1 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 2 - Forks: 1

ThiruRJST/Melanoma_Classification

Melanoma classification using computer vision techniques on SIM-ISIC 2020 dataset

Language: Jupyter Notebook - Size: 2.16 MB - Last synced: 5 months ago - Pushed: about 3 years ago - Stars: 2 - Forks: 1

souheib1/Mixing-weakly-supervised-and-self-supervised-learning-techniques-for-melanoma-relapse-detection

This project focuses on the VisioMel Challenge whose goal is predicting melanoma relapse. Recent advancements in SSL and WSL offer promising new solutions for improving the accuracy of cancer relapse detection.

Language: Jupyter Notebook - Size: 4.82 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 1 - Forks: 0

anil-adepu/Melanoma-Classification-using-Knowledge-Distillation-for-Highly-Imbalanced-Data

Official code for the paper - "Melanoma classification from dermatoscopy images using knowledge distillation for highly imbalanced data".

Language: Jupyter Notebook - Size: 755 KB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 1

pbevan1/Skin-Deep-Unlearning

Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'

Language: Python - Size: 79.6 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 5 - Forks: 2

sancarlim/decentralizedAI_dermatology

Experiments of the DAI in Healthcare project - skin lesions images use case - using Flower

Language: Python - Size: 113 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 3 - Forks: 3

pbevan1/Detecting-Melanoma-Fairly

Implementation for MICCAI DART paper: 'Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification'

Language: Python - Size: 7.08 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 8 - Forks: 3

fabioperez/skin-data-augmentation

Source code for the paper 'Data Augmentation for Skin Lesion Analysis' - Best Paper Award at the ISIC Skin Image Analysis Workshop @ MICCAI 2018

Language: Python - Size: 3.62 MB - Last synced: over 1 year ago - Pushed: about 5 years ago - Stars: 67 - Forks: 17

sm823zw/Melanoma-Image-Augmentation-and-classification

This repository deals with generating 'malign' synthetic samples from 'benign' samples using CycleGAN to mitigate class imbalance and detecting Melanoma using a new balanced skin lesion image dataset.

Language: Jupyter Notebook - Size: 11.3 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 2 - Forks: 3

sancarlim/Explainability-Dermatology

This repository contains experiments using different XAI methods and ISIC2020 dataset.

Language: Jupyter Notebook - Size: 63.7 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 2

emmaryd/melanoma_classification

Classification of malignt or benignt melanoma using the ISIC 2020 Challenge Dataset.

Language: Python - Size: 903 KB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 2 - Forks: 1