Processed ISIC2019 Dataset for Skin Disease Diagnosis and Knowledge Distillation Research

This dataset is a curated and processed version of the ISIC2019 skin lesion dataset, specifically prepared for research on lightweight skin disease classification and knowledge distillation. The dataset includes:A subset of dermoscopic images from ISIC2019, formatted and resized for training and evaluation.Corresponding metadata tables containing patient information (e.g., age, sex, lesion location).Pre-processed CSV files that map image names to diagnostic labels.Split files (train/val/test) for reproducibility.Supplementary materials for knowledge distillation tasks, such as teacher-student label mappings and class distribution statistics.This dataset was used in the development of a real-time skin disease diagnosis system optimized for edge deployment. The processed data enables efficient training of lightweight deep learning models and supports reproducible experimentation.The original ISIC2019 dataset can be found at: https://challenge2019.isic-archive.com/

本数据集为ISIC2019皮肤病变数据集的精选处理版本，专为轻量化皮肤疾病分类与知识蒸馏（Knowledge Distillation）研究定制开发。该数据集涵盖以下内容：1. 取自ISIC2019的皮肤镜影像子集，已完成格式统一与尺寸调整，可直接用于模型训练与评估；2. 配套元数据表，包含患者相关信息（如年龄、性别、病变部位等）；3. 经预处理的CSV文件，用于关联影像文件名与诊断标签；4. 用于保障实验可复现性的划分文件（训练集/验证集/测试集）；5. 适配知识蒸馏任务的补充材料，例如师生模型标签映射关系与类别分布统计信息。本数据集已应用于一款面向边缘部署优化的实时皮肤疾病诊断系统的研发。经处理后的数据集可高效支撑轻量化深度学习模型的训练，并支持可复现的实验验证。原始ISIC2019数据集可通过以下链接获取：https://challenge2019.isic-archive.com/

搜集汇总

背景与挑战

背景概述

该数据集是ISIC2019皮肤病变数据集的预处理版本，包含皮肤镜图像、患者元数据和预处理的标签文件，专门用于轻量级皮肤疾病分类模型的研究和知识蒸馏任务。数据集还提供了训练集、验证集和测试集的划分，以支持可重复的实验研究。