HistomicsTK: A Python toolkit for pathology image analysis algorithms

Growth in the digital imaging of glass tissue slides has produced petabytes of data, however, this data remains underutilized in biomedical research due in part to a lack of open-source software. HistomicsTK is an open-source Python package that provides preprocessing, segmentation, and feature extraction capabilities for building histology image processing pipelines. HistomicsTK can function as a standalone Python package or serve containerized pipelines through a web-based interface using the Digital Slide Archive platform. This paper provides an overview of HistomicsTK with illustrative use cases and describes how this project engages the community in software development and maintenance.

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Publication Details

Journal
SoftwareX
Published
2025-08-22
DOI
https://doi.org/10.1016/j.softx.2025.102318
Citations
6
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
14.89
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article

HistomicsTK: A Python toolkit for pathology image analysis algorithms

D. Gutman, Ramin Nateghi, Lee Cooper, David Manthey et al.
6 citations
SoftwareX
AI in cancer detection
14.89
article

HistomicsTK: A Python toolkit for pathology image analysis algorithms

D. Gutman, Ramin Nateghi, Lee Cooper, David Manthey, Fattaneh Pourakpour, Ákos Szölgyén
article en
6 citations

Abstract

Growth in the digital imaging of glass tissue slides has produced petabytes of data, however, this data remains underutilized in biomedical research due in part to a lack of open-source software. HistomicsTK is an open-source Python package that provides preprocessing, segmentation, and feature extraction capabilities for building histology image processing pipelines. HistomicsTK can function as a standalone Python package or serve containerized pipelines through a web-based interface using the Digital Slide Archive platform. This paper provides an overview of HistomicsTK with illustrative use cases and describes how this project engages the community in software development and maintenance.

SoftwareXVol. 31
Northwestern University (US), Emory University (US), Emory and Henry College (US), Chan Zuckerberg Initiative (United States) (US), Kitware (United States) (US)
Openalex Percentile: Top 1%
AI in cancer detection
14.89
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HistomicsTK: A Python toolkit for pathology image analysis algorithms — D. Gutman, Ramin Nateghi, et al. · SoftwareX (2025) | TGRS Research Map | TGRS