ColoPola: A polarimetric imaging dataset for colorectal cancer detection.

ABSTRACT:

Background

In recent years, polarimetric imaging has been developed for various biological applications, including tissue morphological characterization and cancer stage detection. However, to facilitate classification models based on the characteristics of polarization states, it is essential to develop a consistent and standardized dataset of polarimetric images.

Findings

This study presents a dataset of colorectal cancer polarimetric images designated as ColoPola, which is intended to facilitate research efforts in the field. The dataset consists of 572 sample slices (288 healthy and 284 malignant). For each slice, 36 polarimetric images corresponding to different polarization states are provided. Thus, ColoPola contains 20,592 polarimetric images, of which 10,368 corresp

SUBMITTER: Pham TT 

PROVIDER: S-EPMC12530094 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature