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Updated: Jun 27, 2025

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人工智能-图像学习及其在神经瘤学中的应用:一篇综述

Malaika Javed1, Mohammad Hamza Bajwa1, Saqib Kamran Bakhshi1

  • 1Department of Surgery, Section of Neurosurgery, The Aga Khan University, Karachi, Pakistan.

JPMA. The Journal of the Pakistan Medical Association
|May 7, 2024
PubMed
概括

医学成像中的人工智能 (AI) 增强了早期瘤检测和预后预测. 人工智能驱动的放射学提供了更少的侵入性诊断,改善了病人管理和瘤学的结果.

关键词:
人工智能,放射学,深度学习,新生体,预后,活检,发病率,突变,机器智能,脑瘤,神经瘤学家,人工神经网络,卷积神经网络.

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Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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