Trials / Unknown
UnknownNCT04000620
Imaging-based Deep Learning for Lung Cancer Diagnosis and Staging
The Role of CNN Architecture-based Transfer Learning of Medical Imaging in Lung Cancer Diagnosis and Staging
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 500 (estimated)
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Academic / Other
- Sex
- All
- Age
- 18 Years – 75 Years
- Healthy volunteers
- Not accepted
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
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| PROCEDURE | surgery | treatment intent surgery |
| PROCEDURE | punture | diagnostic punture |
Timeline
- Start date
- 2018-05-01
- Primary completion
- 2021-12-30
- Completion
- 2024-05-01
- First posted
- 2019-06-27
- Last updated
- 2021-11-16
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT04000620. Inclusion in this directory is not an endorsement.