関連する実験動画

Updated: Jul 17, 2026

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

MSFE-GallNet-X:多次元特征抽出ベースの,説明性が向上した胆管疾患分析のためのCNNモデル

Hadiur Rahman Nabil1, Istyak Ahmed1, Aritra Das1

  • 1Department of Computer Science, American International University Bangladesh, Dhaka, Bangladesh.

BMC medical imaging
|August 30, 2025
PubMed
まとめ

No abstract available in PubMed .

キーワード:
CNN についてグラッド・CAM画像の分類医療用画像検査マルチスケール機能抽出超音波分析

さらに関連する動画

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

2.0K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

491

関連する概念動画

Ultrasound II: Endoscopic Ultrasound and FibroScan01:25

Ultrasound II: Endoscopic Ultrasound and FibroScan

Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
Endoscopic Ultrasound (EUS):