JPRN-UMIN000039009已完成未知
A deep learning-based automated diagnostic system for classifying mammographic lesions - DLADS
Comprehensive Support Project for Oncology Research for Breast Cancer (CSPOR-BC)0 个研究点目标入组 20,000 人开始时间: 2019年12月26日最近更新:
适应症
试验速览
- 阶段
- 未知
- 状态
- 已完成
- 发起方
- 入组人数
- 20,000
研究概览
简要总结
The constructed AI showed comparable ability to humans in reading mammograms.
研究设计
- 研究类型
- Others,meta-analysis etc
入排标准
- 年龄范围
- 20years-old 至 ot applicable（—）
- 性别
- Female
入选标准
- 未提供
排除标准
- •Digital mammography images fulfilling any of the following criteria are not collected. 1.Tomosynthesis and synthetic 2D mammographic images 2.Spot compression views 3.Poor image quality 4.Inappropriate images as judged by the local investigators
研究者
相似试验
进行中（未招募）
不适用
Use of Artificial Intelligence in the Symptomatic BReAst Clinic SEttingCancer, BreastNCT06578988Royal Marsden NHS Foundation Trust25,000
进行中（未招募）
不适用
Can we use an artificial intelligence system to improve the quality and efficiency of breast cancer screening?Decision support in breast cancer screeningISRCTN88754382Imperial College London10,875
招募中
不适用
Using Deep Learning Methods to Analyze Automated Breast Ultrasound and Hand-held Ultrasound Images, to Establish a Diagnosis, Therapy Assessment and Prognosis Prediction Model of Breast Cancer.Breast CancerNCT04270032The First Affiliated Hospital of the Fourth Military Medical University10,000
招募中
不适用
Deep Learning Algorithm for Detecting Obstructive Coronary Artery Disease Using Fundus PhotographsArtificial Heart Device UserCoronary Artery DiseaseNCT06102226Yong Zeng7,000
招募中
不适用
Automatic Phenotyping of Patients on 2D PhotographyNCT06219421Imagine Institute22,000