相关实验视频

Updated: Jun 24, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

388

查看适应性统一自我监督技术用于腹部器官细分.

Suchi Jain1, Renu Dhir1, Geeta Sikka2

  • 1Computer Science and Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, 144008, India.

Computers in biology and medicine
|June 1, 2024
PubMed
概括

本研究引入了一种新型的半监督视图适应统一模型 (VAU模型),用于自动腹部器官细分. VAU模型显著改善了3D上下文学习,提高了医疗成像分析的细分精度.

关键词:
深度学习是一种深度学习.器官细分器官的细分器官的细分自主监督的自我监督视图适应性 视图适应性

更多相关视频

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.7K
Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

10.5K

相关概念视频

Ultrasound I: Abdominal Ultrasonography01:20

Ultrasound I: Abdominal Ultrasonography

Introduction:
Abdominal ultrasonography, commonly known as abdominal ultrasound, is a vital, non-invasive medical imaging technique widely used in healthcare.
Procedure:
This diagnostic tool allows the clinician to visually inspect internal structures within the abdomen, including vital organs such as the liver, gallbladder, pancreas, kidneys, and spleen.
The abdominal ultrasound process begins with applying a special gel to the patient's skin over the abdomen. This gel enhances the...
207