arXiv Open Access 2025

Encoding of Demographic and Anatomical Information in Chest X-Ray-based Severe Left Ventricular Hypertrophy Classifiers

Basudha Pal Rama Chellappa Muhammad Umair

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Abstrak

While echocardiography and MRI are clinical standards for evaluating cardiac structure, their use is limited by cost and accessibility.We introduce a direct classification framework that predicts severe left ventricular hypertrophy from chest X-rays, without relying on anatomical measurements or demographic inputs. Our approach achieves high AUROC and AUPRC, and employs Mutual Information Neural Estimation to quantify feature expressivity. This reveals clinically meaningful attribute encoding and supports transparent model interpretation.

Topik & Kata Kunci

eess.IV cs.AI cs.CV

Penulis (3)

Basudha Pal

Rama Chellappa

Muhammad Umair

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Pal, B., Chellappa, R., Umair, M. (2025). Encoding of Demographic and Anatomical Information in Chest X-Ray-based Severe Left Ventricular Hypertrophy Classifiers. https://arxiv.org/abs/2506.03192

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓