Viewing Study NCT04000620


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Study NCT ID: NCT04000620
Status: UNKNOWN
Last Update Posted: 2021-11-16
First Post: 2019-06-24
Is NOT Gene Therapy: False
Has Adverse Events: False

Brief Title: Imaging-based Deep Learning for Lung Cancer Diagnosis and Staging
Sponsor: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Organization:

Study Overview

Official Title: The Role of CNN Architecture-based Transfer Learning of Medical Imaging in Lung Cancer Diagnosis and Staging
Status: UNKNOWN
Status Verified Date: 2021-11
Last Known Status: RECRUITING
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: Lung cancer diagnosis and staging are two fundamental and critical issue in clinical lung cancer management and therapeutic decision-making. Invasive procedures for pathologic analysis are gold standard for diagnosis and staging, however, invasive procedures related-complications are inevitable. Noninvasive medical imaging is a powerful tool, however there is almost no room for improvement just according to the experience of radiologist and clinician. The researchers will investigate the role of computer based deep learning of medical imaging in the diagnosis of lesion of lung, lymph node and other sites suspected with metastasis.
Detailed Description: Radiologist

Study Oversight

Has Oversight DMC: False
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: