Automatic detection of abnormal lesions in FDG-PET/CT screening using deep learning technology
Not Applicable
- Conditions
- Screening
- Registration Number
- JPRN-UMIN000047885
- Lead Sponsor
- Kyoto University Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 6000
Inclusion Criteria
Not provided
Exclusion Criteria
1) Subjects with artifacts on [18F] DG PET/CT 2) Subjects without complete [18F] DG PET/CT scanning 3) Subjects without any training data available such as ultrasound, blood test, fecal occult blood, or gastrointestinal endoscopy 4) Subjects who scored "E (diagnosed in other institutes)" with ultrasound or gastrointestinal endoscopy 5) Subjects who were considered as not eligible by investigators
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method