Deep learning-based image classification for AI-assisted integration of pathology and radiology in medical imaging

This research bridges the gap between pathology and radiology, offering a comprehensive AI-driven solution that aligns with the evolving demands of modern healthcare by ensuring precision, reliability, and interpretability in medical imaging.

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Publication Details

Journal
Frontiers in Medicine
Published
2025-06-02
DOI
https://doi.org/10.3389/fmed.2025.1574514
Citations
5
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
6.80
Controls
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article

Deep learning-based image classification for AI-assisted integration of pathology and radiology in medical imaging

Dan Hu, Lan Luan, L. He
5 citations
Frontiers in Medicine
Radiomics and Machine Learning in Medical Imaging
6.80
article

Deep learning-based image classification for AI-assisted integration of pathology and radiology in medical imaging

Dan Hu, Lan Luan, L. He
article en
5 citations

Abstract

This research bridges the gap between pathology and radiology, offering a comprehensive AI-driven solution that aligns with the evolving demands of modern healthcare by ensuring precision, reliability, and interpretability in medical imaging.

Frontiers in MedicineVol. 12
Beijing Institute of Technology (CN), Guizhou University (CN), Beijing Institute of Optoelectronic Technology (CN)
Openalex Percentile: Top 3%
Radiomics and Machine Learning in Medical Imaging
6.80
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