関連する実験動画

Updated: Sep 9, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

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

直腸がん周辺のリンパ節転移を予測する深層学習モデル

Lili Guo1, Kuang Fu2, Wenjia Wang3

  • 1Department of Magnetic Resonance Imaging Diagnostic, The 2nd Affiliated Hospital of Harbin Medical University, Baojian Road, Nangang District, Harbin, 150086, China.

BMC medical imaging
|September 1, 2025
PubMed
まとめ

No abstract available in PubMed .

キーワード:
表面拡散係数自動セグメンテーションリンパ節転移結腸がんT2加重イメージングnn-UNet について

さらに関連する動画

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

6.9K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma04:09

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

関連する概念動画