NCT04665102Unknown不适用
Validation of a Transfer Learning Deep Learning Algorithm for Image Classification in Multiple Pathologies
CRG UZ Brussel0 个研究点目标入组 120 人开始时间: 2021年2月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 120
- 主要终点
- Validation of Image classification by transfer learning algorithm
研究概览
简要总结
Deep learning allows you to classify images using a self-learning algorithm. Transfer learning builds on an existing self-learning algorithm to enable image classification with fewer images. In this study, this technique will be applied to different image modalities in different syndromes. Retrospective study design.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 100 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Availability of images, which allow discrimination.
排除标准
- •No availability of clear data on disease differentiation
结局指标
主要结局
Validation of Image classification by transfer learning algorithm
时间窗: 1 year
次要结局
未报告次要终点
研究者
Pieter Nelis
Researcher
CRG UZ Brussel
相似试验
Unknown
不适用
Deep Learning Algorithm for Recognition of Colonic Segments.Colonic DiseasesNCT04087824Shandong University60
Unknown
不适用
Development and Validation of a Deep Learning Algorithm for Bowel Preparation Quality ScoringBowel PreparationNCT03908645Shandong University100
尚未招募
不适用
Application of Artificial Intelligence Deep Learning Technology in Magnetic Resonance Lumbar ImagingDeep Learning,Lumbar Magnetic Resonance ImagingNCT06037057RenJi Hospital40
已完成
不适用
External Validation of a Deep Learning Based Model for Pulmonary Embolism Detection on Chest CT ScansPulmonary EmbolismNCT05333042OncoRadiomics5,000
Unknown
不适用
Deep Learning Algorithm for the Diagnosis of Gastrointestinal DiseasesGastrointestinal DiseaseNCT04222439Shandong University100,000