首页/数据集/Skin Moles: Benign vs Malignant (Melanoma) ISIC'19

Skin Moles: Benign vs Malignant (Melanoma) ISIC'19

kaggle2024-05-02 更新2024-05-06 收录

皮肤痣研究

医学图像分析

数据链接：

https://www.kaggle.com/datasets/adisongoh/skin-moles-benign-vs-malignant-melanoma-isic19 数据链接链接失效反馈

官方服务：

资源简介：

5000 benign (melanocytic nevi) vs 4522 malignant (melanoma) images of skin moles

应用场景：

创建时间：

2024-05-02

相关数据集

deepMTJ test dataset

医学图像分析

深度学习

Instroduction This dataset comprises 1344 images of muscle-tendon junctions recorded with 3 ultrasound imaging systems (Aixplorer V6, Esaote MyLab60, Telemed ArtUs), on 2 muscles (Lateral Gastro

DataCite Commons2022-07-07 更新60

patches and local annotations, slide 165, zoom 248x248 um2

医学图像分析

局部注释

patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character

DataCite Commons2025-05-01 更新30

Prediction performance of the Random Forest image classification model on the various image input types.

医学图像分析

性能评估

The highlighted accuracies are the best per classification scheme. Evaluation was calculated on the ImageCLEF 2009 Medical Annotation Task Test Set.

NIAID Data Ecosystem20

Multi-Laboratory Hematoxylin and Eosin Staining Variance Supervised Machine Learning Dataset

医学图像分析

机器学习

We provide the generated dataset used for supervised machine learning in [1]. The data is in CSV format and contains all principal components and ground truth labels per tissue type. Tissue type codes

DataCite Commons2025-05-01 更新30

3. ipcai_2020_full_res_data.zip

医学图像分析

计算机辅助干预

Full-resolution dataset with 2D and 3D annotations. Needs additional pre-processing before training/testing.

DataCite Commons2023-01-13 更新30