There are 4 repositories under skin-lesion-classification topic.
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.
Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.
Skin Disease Detection web app predict the skin disease from a single image in less than one second.
Deep Multimodal Guidance for Medical Image Classification: https://arxiv.org/pdf/2203.05683.pdf
ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.
ISIC 2018 - Skin Lesion Classification for Melanoma Detection
StyleGAN2-ADA for generation of synthetic skin lesions
Official implementation of Deeply Supervised Skin Lesions Diagnosis with Stage and Branch Attention
This repo includes classifier trained to distinct 7 type of skin lesions
Datasets for skin image analysis
Code for the paper "Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis", CVPRW 2023.
Skin Lesions Classification using Computer Vision and Convolutional Neural Networks
Skin lesion classification, using Keras and the ISIC 2020 dataset
The souce code of MICCAI'23 paper: Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation
Mutlimodality for skin lesions classification
Skin lesion image analysis that draws on meta-learning to improve performance in the low data and imbalanced data regimes.
Bi-modal cnn-transformer feature extractor with prototype decision tree classifier for accurate and explainable skin lesion diagnosis.
Skin Lesion Classification Analysis: A Comparative Study
Code for the paper "Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models", ISBI 2024.
Notebooks of pre trained models using the HAM10000 dataset
Analyzing the human skin pigments to detect the disease which is causing that abnormality in the skin cells.
A new approach to skin lesion classification with EnTransfer CNN: https://ieeexplore.ieee.org/document/9599051/
Example of how to use MATLAB Experiment Manager to test different classifiers for skin lesion classification using transfer learning.
Skin Lesion Classifier: a skin lesion analysis towards melanoma detection.
skin disease classification
This VUE app is a Kahoot game to test users in skin lesions (e.g Melanoma)
Analysis of Skin Lesion Images to segment lesion regions and classify lesion type using adversarial deep learning.
Source code for the paper: "Dermoscopic Dark Corner Artifacts Removal: Friend or Foe?"