Work

Supplementary Vignette 1 from Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology

Year: 2025

Type: supplementary-materials

Abstract: In this vignette, we use 15 publicly available images of a wide range of imaging modalities and file formats to demonstrate how PathML supports loading all of them under a simple, standardized syntax.

DOI: 10.1158/1541-7786.30723816

Authors: Jacob Rosenthal, Ryan Carelli, Mohamed Omar, David Brundage, Ella Halbert, Jackson Nyman, Surya N. Hari, Eliezer M. Van Allen, Luigi Marchionni, Renato Umeton, Massimo Loda

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

OpenAlex ID: W4416719214

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