Cargando…
Automatic inference model construction for computer-aided diagnosis of lung nodule: Explanation adequacy, inference accuracy, and experts’ knowledge
We aimed to describe the development of an inference model for computer-aided diagnosis of lung nodules that could provide valid reasoning for any inferences, thereby improving the interpretability and performance of the system. An automatic construction method was used that considered explanation a...
Autores principales: | Kawagishi, Masami, Kubo, Takeshi, Sakamoto, Ryo, Yakami, Masahiro, Fujimoto, Koji, Aoyama, Gakuto, Emoto, Yutaka, Sekiguchi, Hiroyuki, Sakai, Koji, Iizuka, Yoshio, Nishio, Mizuho, Yamamoto, Hiroyuki, Togashi, Kaori |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6239329/ https://www.ncbi.nlm.nih.gov/pubmed/30444907 http://dx.doi.org/10.1371/journal.pone.0207661 |
Ejemplares similares
-
Temporal subtraction CT with nonrigid image registration improves detection of bone metastases by radiologists: results of a large-scale observer study
por: Onoue, Koji, et al.
Publicado: (2021) -
Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region
por: Nishio, Mizuho, et al.
Publicado: (2017) -
Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning
por: Nishio, Mizuho, et al.
Publicado: (2018) -
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization
por: Nishio, Mizuho, et al.
Publicado: (2018) -
Estimation of lung cancer risk using homology-based emphysema quantification in patients with lung nodules
por: Nishio, Mizuho, et al.
Publicado: (2019)