跳至主要内容
临床试验/CTRI/2022/09/046002
CTRI/2022/09/046002尚未招募未知

An open label, retrospective, observational, non-inferior study to Investigate the Potential of Deep Learning in Assessing the chest diseases Depicted on Digital Chest Radiographs and to Compare Its Performance with Certified Radiologists

MANENTIA ADVISORY PRIVATE LIMITED0 个研究点目标入组 0 人开始时间: 待定最近更新:

试验速览

阶段
未知
状态
尚未招募
发起方

研究概览

简要总结

暂无简介。

研究设计

研究类型
Observational

入排标准

入选标准

  • 1. The dataset consists of many X-rays images.
  • 2. Subject dataset specific for the class label.
  • 3. X-ray dataset with any of the below pathological conditions.
  • Pneumothorax, Pleural effusion, Pleural thickening, Pneumonia (Lobar and Segmental), Malignancy, Mediastinal pathology, Reticular pattern, Nodular pattern, Fibrocalcific lesion, Emphysema, COPD, Bronchiectasis, Cavity, Pulmonary Oedema, Collapse, Foreign Body, Bone pathologies, Normal condition

排除标准

  • 1. Dataset that does not consist of x-ray images
  • 2. Incomplete or unreliable data, such as the age, gender, and status at the time of the X-ray recording.
  • 3. Dataset and X-ray which do not comply with inclusion criteria

研究者

发起方
MANENTIA ADVISORY PRIVATE LIMITED

相似试验