Published January 24, 2024 | Version V1.2
Dataset Open

ColoPola: A dataset of colorectal cancer polarimetric images (Mueller matrix elements) for colorectal cancer detection

  • 1. International University (IU) - VNU HCMC
  • 2. The Saigon International University, Ho Chi Minh City, Vietnam

Description

ColoPola dataset is Colorectal cancer Polarimetric images dataset

The dataset consists of 572 slices (specimens) with 20,592 images, 284 slices of which were designated as cancer samples and 288 as normal samples.

Each sample has 36 polarimetric images (i.e., HH, HV, HP, HM, HR, HL, VH, VV, VP, VM, VR, VL, PH, PV, PP, PM, PR, PL, MH, MV, MP, MM, MR, ML, RH, RV, RP, RM, RR, RL, LH, LV, LP, LM, LR, and LL).

Each folder in the ColoPola dataset consists of 36 polarimetric images. Each image is 1280x1024 pixels in size and was created in the TIF file format (HH.tif, HV.tif, ..., LL.tif). 

Files

cc_1.zip

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Additional details

Related works

Is published in
Journal article: 10.1093/gigascience/giaf120 (DOI)

Funding

Vietnam National University Ho Chi Minh City
Research and application of AI models combining to polarization images and biomedical images for diagnosis of some cancers Grant No. DS2023-28-02

Dates

Available
2023-11-03
Publishing the ColoPola dataset
Updated
2024-01-23
Uploading Python code to calculate Mueller matrix