Published May 9, 2025 | Version v1
Dataset Open

VIM Polyp: A Multimodal Dataset of Colonoscopy Videos, Histopathology Images, and Protein Expression Levels from Colorectal Polyps

Authors/Creators

  • 1. ROR icon Abdullah Gül University
  • 2. ROR icon Kayseri Eğitim ve Araştırma Hastanesi

Description

This repository contains the code and metadata associated with the VIMPolyp dataset, which includes:

  • Colonoscopy videos (visual modality)
  • Histopathology images (microscopic modality)
  • Immunohistochemistry-based protein expression scores (molecular modality)
 

Files

colonVideosWithLabels.zip

Files (40.7 GB)

Name Size
md5:be24d0d2584f2ccc21f3d0b4cb3c1629
19.2 GB Preview Download
md5:bf4e8f0e4b28fd3cd443627f41b6bbaa
21.5 GB Preview Download

Additional details

Related works

Cites
Journal article: 10.1016/j.ibmed.2024.100177 (DOI)
Is supplemented by
Dataset: 10.5281/zenodo.15388073 (DOI)

Dates

Created
2023

Software

Programming language
Python

References

  • Doğan, R. S., Akay, E., Doğan, S., & Yılmaz, B. (2025) VIM-Polyp: Multimodal Colon Polyp Dataset with Video, Histopathology, and Protein Expression. Nature Sci Data
  • Doğan, R. S., Akay, E., Doğan, S., & Yılmaz, B. (2024). Hyperplastic and tubular polyp classification using machine learning and feature selection. Intelligence-Based Medicine, 10, 100177.
  • Doğan, R. S., & Yılmaz, B. (2024). Histopathology image classification: highlighting the gap between manual analysis and AI automation. Frontiers in Oncology, 13, 1325271. 2)Doğan, R. S., Akay, E., Doğan, S., & Yılmaz, B. (2024). Hyperplastic and tubular polyp classification using machine learning and feature selection. Intelligence-Based Medicine, 10, 100177. 3)