相关实验视频

Updated: Jul 16, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

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

Published on: April 21, 2023

1.8K

序列深度学习图像增强模型提高了PET中的诊断信心,病变检测能力和图像重建时间

Meghi Dedja1, Abolfazl Mehranian2, Kevin M Bradley3

  • 1Oxford University Hospitals, Oxford, UK.

EJNMMI physics
|March 15, 2024
PubMed
概括

序列深度学习算法 (DLE和DLT) 通过减少噪音和改善病变检测来增强PET-CT成像. 这种组合也显著减少了重建时间,显示了全身PET应用的前景.

关键词:
深度学习是一种深度学习.图像重建 图像重建阳位电子发射断层扫描 (PET).

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

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

396

相关概念视频

Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...