Localization and Classification of Adrenal Masses in Multiphase Computed Tomography: Retrospective Study

The MA-YOLO model demonstrates the ability to achieve efficient, accurate, and noninvasive preoperative localization and classification of common adrenal masses in CT examinations, showing promising potential for future applications.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-04-24
DOI
https://doi.org/10.2196/65937
Primary Topic
Adrenal and Paraganglionic Tumors
Type
article
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Localization and Classification of Adrenal Masses in Multiphase Computed Tomography: Retrospective Study

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Journal of Medical Internet Research
Adrenal and Paraganglionic Tumors
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Localization and Classification of Adrenal Masses in Multiphase Computed Tomography: Retrospective Study

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article en

Abstract

The MA-YOLO model demonstrates the ability to achieve efficient, accurate, and noninvasive preoperative localization and classification of common adrenal masses in CT examinations, showing promising potential for future applications.

Journal of Medical Internet ResearchVol. 27
Kunming University of Science and Technology (CN), Fudan University (CN), Kunming Medical University (CN), First People's Hospital of Yunnan Province (CN), The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture (CN)
Good health and well-being
Openalex Percentile: Top 85%
Adrenal and Paraganglionic Tumors
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