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Artificial intelligence in forensic pathology: Multi-organ postmortem pathomics for estimating postmortem interval

delete2025-07-07
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PRE
AI
Y
Yu Gao
S
Siyuan Cheng
N
Na Li
任康 cover
任康 (Kang Ren)
R
Rufeng Bai
孙俊红 cover
孙俊红 (Junhong Sun)
DOI：10.1016/j.cmpb.2025.108949delete
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Abstract

Abstract

En 中文
• A deep pathomics model was developed for postmortem interval estimation. • Multi-organ stacking ensemble integrates liver, kidney, and muscle histology images. • Patch, slide, and individual levels were used to address local-global feature disparity. • Quality control and color normalization enhanced model robustness and generalizability. • The model achieved 87.5% accuracy and 2.25 h MAE on the external test cohort.

Journal

Computer Methods and Programs in Biomedicine cover
Computer Methods and Programs in Biomedicine
IF:
4.8
Papers:
6.9K
Citations:
2.1W

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