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1aurent/Kather-texture-2016

The dataset represents a texture collection of human colorectal cancer histology images. It contains 5,000 RGB images of size 150 × 150 px (74 µm × 74 µm), each belonging to one of eight tissue classes. Images were digitized at 20× magnification (0.495 µm/pixel) using an Aperio ScanScope (Leica Biosystems). The samples are formalin‑fixed, paraffin‑embedded (FFPE) colorectal adenocarcinoma tissues from pathology archives, fully anonymized and approved by an ethics committee.

Updated 5/25/2024
hugging_face

Description

Colorectal Cancer Histology Texture Dataset

Description

  • License: CC‑BY‑4.0
  • Size Category: 1K < n < 10K
  • Task Category: Image Classification
  • Tags:
    • Biology
    • Colorectal Cancer
    • Histopathology
    • Histology
    • Digital Pathology

Configuration

  • Default Split:
    • Split: train
    • Path: data/train-*

Information

  • Features:

    • Image: type image
    • Label: categorical with classes:
      • 0 ADIPOSE
      • 1 COMPLEX
      • 2 DEBRIS
      • 3 EMPTY
      • 4 LYMPHO
      • 5 MUCOSA
      • 6 STROMA
      • 7 TUMOR

  • Split: train – 5,000 samples, 329 215 083 bytes

  • Download Size: 293 441 024 bytes

  • Dataset Size: 329 215 083 bytes

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Topics

Colorectal Cancer
Image Classification

Source

Organization: hugging_face

Created: Unknown

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