Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
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