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Updated: Jul 12, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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基于机器学习的模型用于预测头骨底部和脊髓瘤的结果:系统性审查和元分析

Bardia Hajikarimloo1, Ibrahim Mohammadzadeh2, Azin Ebrahimi2

  • 1Department of Neurological Surgery, University of Virginia, Charlottesville, USA. bardii47@yahoo.com.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
|June 14, 2025
PubMed
概括

机器学习 (ML) 模型显示出对瘤进展,复发和生存的强有力的预测能力. 这些先进的模型为患有这些具有挑战性的骨瘤的患者提供了更好的预测.

关键词:
一个叫做chordoma的小组.深度学习是一种深度学习.机器学习是机器学习.一个进步的进步.复发情况 复发情况幸存的生存方式

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相关概念视频

Classification of Bones01:18

Classification of Bones

The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The long...