相关实验视频

Updated: Sep 10, 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

8.3K

CAAFE-ResNet:用于直肠癌的预后评估,具有频道注意力增强特征提取的ResNet

Qing Lu1, Jiaojiao Zhang1, Qianwen Xue2

  • 1College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, Shandong, China.

IET systems biology
|August 28, 2025
PubMed
概括

一个新的深度学习模型CAAFE-ResNet18*提高了对直肠癌的磁共振成像 (MRI) 分析. 这种人工智能方法改善了局部晚期直肠癌 (LARC) 患者的治疗反应的早期识别.

关键词:
生物医学MRI特性提取医疗图像处理神经网络

更多相关视频

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing15:17

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing

Published on: September 25, 2011

14.1K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

193

相关概念视频

Assessment of the Rectum and Anus01:25

Assessment of the Rectum and Anus

Evaluating the rectum and anus plays a crucial role in conducting a thorough physical examination of the gastrointestinal system. Although it may be uncomfortable and often embarrassing for the patient, it holds immense diagnostic value, particularly in detecting gastrointestinal diseases and abnormalities. This guide will explain how to perform this assessment using inspection and palpation methods.
Rectal Inspection
Begin by inspecting the perianal and anal areas for color, texture, rashes,...
399