There is a newer version of the record available.

Published November 3, 2023 | Version V1.1

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

  • 1. International University (IU) - VNU HCMC
  • 2. FPT University HCMC

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 Mueller matrix elements (i.e., HH, HV, HP, HM, HR, HL, VH, VV, VP, VM, VR, VL, PH, PV, PP, PM, MH, MV, MP, MR, ML, MM, 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

cancer.zip

Files (27.5 GB)

Name Size
md5:721948ba85e447cdb79558a60b805450
15.3 GB Preview Download
md5:8c3eceec5307f1c8a3753e14a4837c93
12.2 GB Preview Download
md5:9dd3473aaba0714e09ce499051b991dd
1.7 kB Preview Download
md5:64ef53f97164385f3b365f07e8d21237
2.0 kB Preview Download
md5:74e4b37c3ca9f2f573b3c0d5bc7fce43
8.1 kB Preview Download

Additional details

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