S. Furuya
Hokkaido university hospitalPoster Author Of 2 e-Posters
A semi-automated method to separate tumor from physiological uptakes on FDG PET-CT for efficient generation of training data targeting deep learning (ID 1527)
Session Name
POP (Poster Oral Presentations) Ups
Speakers
Authors
Presentation Topic
Physics, Instrumentation & Data Sciences -> Data Sciences
1213 - A semi-automated method to separate tumor from physiological uptakes on FDG PET-CT for efficient generation of training data targeting deep learning (ID 534)
Session Name
Data Sciences Posters
Speakers
Authors
Presentation Topic
Physics, Instrumentation & Data Sciences -> Data Sciences
Presentation Number
1213