datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Breast_Pathology_Image_JPG
BreastPathDB
BreastPathDB is a breast cancer histopathology dataset for whole-slide image based subtype classification. It contains 770 de-identified whole-slide images, including 165 H&E slides and 605 IHC slides, with clinical subtype labels, curated metadata, and patient-level train/validation/test splits.
The dataset is intended for computational pathology benchmarking, weakly supervised WSI classification, and cross-cohort method development.
Browse files and metadata… See the full description on the dataset page: https://huggingface.co/datasets/kmmuleelab/Breast_Pathology_Image_JPG.breast-histopathology-images
Dataset Card for Breast Histopathology Images
Dataset Overview
Breast Histopathology Images is a dataset containing high-resolution images of breast cancer specimens, specifically focusing on Invasive Ductal Carcinoma (IDC). The dataset is used for developing models to automatically detect and grade the aggressiveness of breast cancer based on histopathological images.
Context
Invasive Ductal Carcinoma (IDC) is the most common subtype of breast cancer.… See the full description on the dataset page: https://huggingface.co/datasets/dbzadnen/breast-histopathology-images.SPIDER-breast
SPIDER-BREAST Dataset
SPIDER is a collection of supervised pathological datasets covering multiple organs, each with comprehensive class coverage. These datasets are professionally annotated by pathologists.
If you would like to support, sponsor, or obtain a commercial license for the SPIDER data and models, please contact us at models@hist.ai.
For a detailed description of SPIDER, methodology, and benchmark results, refer to our research paper:
📄 SPIDER: A Comprehensive… See the full description on the dataset page: https://huggingface.co/datasets/histai/SPIDER-breast.breastcancer-ultrasound-images
Breast Cancer Ultrasound Images
This dataset has been created by hand for scientific and learning purposes.
It is used in "Fine-tuning a Vision Transformer Model With a Custom Biomedical Dataset" in Hugging Face Cookbook.
Dataset Details
The dataset contains total of 780 images from the following 3 classes: benign, malignant and normal.
You can use this dataset for your computer vision tasks.
Used model
You can use this fine-tuned Vision Transformer Model with… See the full description on the dataset page: https://huggingface.co/datasets/emre570/breastcancer-ultrasound-images.BreastThermography
Dataset Card for Breast Thermography
This dataset contains breast thermography images, transformed from lossless radiometric JPEG images using the thermal parser tool. The calibration process leverages exiftool to generate a temperature text file from each image, with the final images stored in TIFF format for improved reproducibility and usability.
Dataset Details
Dataset Description
The original dataset was published on 5 February 2024 (Version 3) and is… See the full description on the dataset page: https://huggingface.co/datasets/SemilleroCV/BreastThermography.breast_cancer_xrayCAMEO-Breast
CAMEO-Breast: A Multimodal Benchmark Dataset of Aligned H&E Patches and Gene Expression Profiles in the Breast
Citation
If you use this dataset, please cite it directly and the original breast study:
@dataset{kuijs_cameo_breast_2026,
author = {Kuijs, Merel and Richter, Till and Gindra, Rushin H and Traeuble, Korbinian and
Matek, Christian and Lukn{\'a}rov{\'a}, Rebeka and Peng, Tingying and Theis, Fabian J},
title = {CAMEO-Breast: A… See the full description on the dataset page: https://huggingface.co/datasets/theislab/CAMEO-Breast.breast-histopathology-images-train-test-valid-split
Breast Histopathology Image dataset
This dataset is just a rearrangement of the Original dataset at Kaggle: https://www.kaggle.com/datasets/paultimothymooney/breast-histopathology-images
Data Citation: https://www.ncbi.nlm.nih.gov/pubmed/27563488 , http://spie.org/Publications/Proceedings/Paper/10.1117/12.2043872
The original dataset has structure: |-- patient_id
|-- class(0 and 1)
The present dataset has following structure: |-- train
|-- class(0 and 1)
|--… See the full description on the dataset page: https://huggingface.co/datasets/EulerianKnight/breast-histopathology-images-train-test-valid-split.breastmnist
breastmnist (MedMNIST)
Source: breastmnistTask: binary-classResolutions: 224x224License: CC BY 4.0
Description
The BreastMNIST is based on a dataset of 780 breast ultrasound images. It is categorized into 3
classes: normal, benign, and malignant. As we use low-resolution images, we simplify the task into
binary classification by combining normal and benign as positive and classifying them against
malignant as negative. We split the source dataset with a ratio of 7:1:2… See the full description on the dataset page: https://huggingface.co/datasets/adrianrm/breastmnist.usg-breast-merged
ชุดข้อมูลอัลตราซาวนด์เต้านม (USG) - BI-RADS
ชื่อชุดข้อมูล: merged-birads-dataset
คำอธิบาย (สั้น ๆ)
ชุดข้อมูลอัลตราซาวนด์เต้านม (USG) จัดเรียงตามมาตรฐาน BI-RADS ซึ่งรวบรวมภาพเต้านมและป้ายชี้ระดับ BI-RADS (0-2) เพื่อใช้ในการวิจัยและพัฒนาโมเดลการวินิจฉัย
การให้เครดิต
Dataset preparation and organization: จำแนกตามมาตรฐาน BI-RADS
โครงสร้างข้อมูล
images/: โฟลเดอร์ที่เก็บไฟล์ภาพ (PNG/JPEG)
hf_dataset/: โฟลเดอร์สำหรับข้อมูลในฟอร์แมต Hugging Face Datasets
README.md: คำอธิบายสำหรับ… See the full description on the dataset page: https://huggingface.co/datasets/JonusNattapong/usg-breast-merged.breast_cancer_practice