Скачать или смотреть Reducing Bias in Radiology with Topological Data Analysis | Oncotarget

Oncotarget #published this #editorial on November 12, 2024, in Volume 15, entitled, “Mitigating bias in radiology: The promise of topological data analysis and simplicial complexes” by researchers from the Department of Radiology, Mayo Clinic, Rochester, MN. ‪@MayoClinic‬
#cancer #research #radiology #data #ai #healthcare #spotlight #openaccess #openscience #peerreview #journal #publication #publishing #meded

DOI - https://doi.org/10.18632/oncotarget.2...

Correspondence to - Yashbir Singh - [email protected]

Abstract

Topological Data Analysis (TDA) and simplicial complexes offer a novel approach to address biases in AI-assisted radiology. By capturing complex structures, n-way interactions, and geometric relationships in medical images, TDA enhances feature extraction, improves representation robustness, and increases interpretability. This mathematical framework has the potential to significantly improve the accuracy and fairness of radiological assessments, paving the way for more equitable patient care.

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Keywords - cancer, topological data analysis, simplicial complexes, radiology, medical imaging

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