Conference
Non-Binary Approaches for Classification of Amyloid Brain PET
Abstract
Machine learning (ML) is increasingly used in medical imaging. This paper provides pilot data of decision trees and random forests (RFs) to predict if a 18F-florbetapir brain positron emission tomography (PET) is positive or negative for amyloid deposition based on quantitative data analysis. The dataset included 55 18F-florbetapir brain PETs in participants with severe white matter disease and mild cognitive impairment (MCI), early Alzheimer's …
Authors
Zukotvnski K; Gaudet VC; Kuo P; Adamo S; Goubran M; Bocti C; Borrie M; Chertkow H; Frayne R; Hsiung R
Volume
00
Pagination
pp. 206-211
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
May 21, 2019
DOI
10.1109/ismvl.2019.00043
Name of conference
2019 IEEE 49th International Symposium on Multiple-Valued Logic (ISMVL)