相关实验视频

Updated: Jul 1, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

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

Published on: October 10, 2018

8.2K

通过基于CT的深度学习预测小细胞肺癌的整体存活率和预防性头骨辐射益处:一项回顾性多中心研究

Xiaomin Zheng1, Kaicai Liu2, Na Shen3

  • 1Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230031, China; Department of Radiation Oncology, Anhui Provincial Cancer Hospital, Hefei 230031, China.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
|March 13, 2024
PubMed
概括

使用CT扫描的新型深度学习模型准确地预测了小细胞肺癌 (SCLC) 患者的生存率. 该模型有助于识别高风险的SCLC患者,他们可能受益于预防性脑辐射 (PCI).

关键词:
深度学习是一种深度学习.总体生存率 总体生存率预防性部辐射疗法小细胞肺癌是一种小细胞肺癌.

更多相关视频

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K

相关概念视频

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
345