Example of how to use MATLAB Experiment Manager to test different classifiers for skin lesion classification using transfer learning.
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Updated
Jun 23, 2021
Example of how to use MATLAB Experiment Manager to test different classifiers for skin lesion classification using transfer learning.
피부 병변 조기 진단을 위한 이미지 분류와 ChatGPT 기반 웹 시스템(2023.11.24) Proceedings of KIIT Conference
Source code for the paper: "Dermoscopic Dark Corner Artifacts Removal: Friend or Foe?"
Skin Cancer identification
Knowledge Distillation for Skin Lesion Classification
Analysis of Skin Lesion Images to segment lesion regions and classify lesion type using adversarial deep learning.
HAM10000 image dataset classification using Pytorch and Scikit Learn
This VUE app is a Kahoot game to test users in skin lesions (e.g Melanoma)
Code for the paper "Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models", ISBI 2024.
Experimental neural network to classify skin lesions from the HAM10k collection.
Skin Cancer lesion classification using transfer learning
This repository contains code and dataset for a multiclass image classification model to detect monkeypox using the ResNet50 architecture. The project focuses on classifying skin lesion images into different categories related to monkeypox, achieving 100% accuracy.
Diagnosis of Dermoscopic Images using Multi-Sizing Ensemble-Based Deep Learning Method
Developed in Python using keras library, and classified the skin lesions using the CNN, trained end-to-end from images directly, using only pixels data.
The souce code of MICCAI'23 paper: Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation
Analyzing the human skin pigments to detect the disease which is causing that abnormality in the skin cells.
Notebooks of pre trained models using the HAM10000 dataset
Metaheuristic algorithm based hyper-parameters optimization for skin lesion classification
Skin Lesion Classifier: a skin lesion analysis towards melanoma detection.
A new approach to skin lesion classification with EnTransfer CNN: https://ieeexplore.ieee.org/document/9599051/
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