Deep learning-based binary classification of beta-amyloid plaques using 18F florapronol PET
The study verifies the potential of the CNN model to classify amyloid positive and negative cases using brain PET images. This model may serve as a supplementary tool to enhance the accuracy of clinical diagnoses.
Authors
- Shin Young Jeong (ORCID: https://orcid.org/0000-0001-5680-8314)
- Pan‐Woo Ko (ORCID: https://orcid.org/0000-0002-5520-2211)
- Chae Moon Hong (ORCID: https://orcid.org/0000-0002-5519-6982)
- Byeong‐Cheol Ahn (ORCID: https://orcid.org/0000-0001-7700-3929)
- Jin Beom Kim
- Junik Son (ORCID: https://orcid.org/0000-0001-6961-5263)
- Sang-Woo Lee (ORCID: https://orcid.org/0000-0002-7445-5804)
- Eui Jung An
Institutions
- Kyungpook National University Hospital (KR)
- Kyungpook National University (KR)
Publication Details
- Journal
- Nuclear Medicine Communications
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1097/mnm.0000000000001904
- Citations
- 2
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.77