Detalhe da pesquisa
1.
[Selection of Radiomic Features for the Classification of Triple-negative Breast Cancer Based on Radiogenomics].
Nihon Hoshasen Gijutsu Gakkai Zasshi
; 75(1): 24-31, 2019.
Artigo
em Japonês
| MEDLINE | ID: mdl-30662029
2.
[Quantitation of Cerebral Atrophy due to Normal Aging: Principal Component Analysis with MR Images in Patients' Age Groups].
Nihon Hoshasen Gijutsu Gakkai Zasshi
; 74(12): 1389-1395, 2018 12.
Artigo
em Japonês
| MEDLINE | ID: mdl-30568088
3.
Spirometry test values can be estimated from a single chest radiograph.
Front Med (Lausanne)
; 11: 1335958, 2024.
Artigo
em Inglês
| MEDLINE | ID: mdl-38510449
4.
Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligence.
Front Oncol
; 14: 1255109, 2024.
Artigo
em Inglês
| MEDLINE | ID: mdl-38505584
5.
Automated Estimation of Mammary Gland Content Ratio Using Regression Deep Convolutional Neural Network and the Effectiveness in Clinical Practice as Explainable Artificial Intelligence.
Cancers (Basel)
; 15(10)2023 May 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-37345132
6.
Learning Advanced Medical Technology and Think about the Future, etc.
Nihon Hoshasen Gijutsu Gakkai Zasshi
; 73(7): 586-596, 2017.
Artigo
em Japonês
| MEDLINE | ID: mdl-28724872
7.
Computer-aided diagnosis with radiogenomics: analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images.
Radiol Phys Technol
; 11(3): 265-273, 2018 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-29750429
8.
[Computer-aided diagnosis with radiogenomics: Analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images].
Igaku Butsuri
; 39(3): 70-71, 2019.
Artigo
em Japonês
| MEDLINE | ID: mdl-31666433