GENERATIVE METHOD TO DISCOVER EMPHYSEMA SUBTYPES WITH UNSUPERVISED LEARNING USING LUNG MACROSCOPIC PATTERNS (LMPS): THE MESA COPD STUDY

Pulmonary emphysema overlaps considerably with chronic obstructive pulmonary disease (COPD), and is traditionally subcategorized into three subtypes: centrilobular emphysema (CLE), panlobular emphysema (PLE) and paraseptal emphysema (PSE). Automated classification methods based on supervised learnin...

Полное описание

Сохранить в:
Библиографические подробности
Опубликовано в: :Proc IEEE Int Symp Biomed Imaging
Главные авторы: Song, Jingkuan, Yang, Jie, Smith, Benjamin, Balte, Pallavi, Hoffman, Eric A., Barr, R. Graham, Laine, Andrew F., Angelini, Elsa D.
Формат: Artigo
Язык:Inglês
Опубликовано: 2017
Предметы:
Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5629072/
https://ncbi.nlm.nih.gov/pubmed/28989563
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2017.7950541
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

Схожие документы