MMD-Net: a weakly supervised solution for quantification of nonalcoholic fatty liver biopsies

This approach establishes a new paradigm for standardized NAFLD histopathological assessment while eliminating the need for pixel-level annotations. By doing so, it charts a promising path for artificial intelligence (AI)-powered histopathological analysis to standardized NAFLD assessment in clinical practice.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-12-11
DOI
https://doi.org/10.21037/qims-2025-981
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

MMD-Net: a weakly supervised solution for quantification of nonalcoholic fatty liver biopsies

Quantitative Imaging in Medicine and Surgery
Liver Disease Diagnosis and Treatment
article

MMD-Net: a weakly supervised solution for quantification of nonalcoholic fatty liver biopsies

article en

Abstract

This approach establishes a new paradigm for standardized NAFLD histopathological assessment while eliminating the need for pixel-level annotations. By doing so, it charts a promising path for artificial intelligence (AI)-powered histopathological analysis to standardized NAFLD assessment in clinical practice.

Quantitative Imaging in Medicine and SurgeryVol. 16(1)
Fudan University (CN), Shanghai Innovative Research Center of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 32%
Liver Disease Diagnosis and Treatment
DOIOpen Access PDFOpenAlex
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MMD-Net: a weakly supervised solution for quantification of nonalcoholic fatty liver biopsies · Quantitative Imaging in Medicine and Surgery (2025) | TGRS Research Map | TGRS