Detalles de la búsqueda
1.
[Application of Convolutional Neural Network for Evaluating CT Dose Using Image Noise Classification: A Phantom Study].
Nihon Hoshasen Gijutsu Gakkai Zasshi;
76(11): 1143-1151, 2020.
Artículo
en Japonés
| MEDLINE | ID: mdl-33229844
2.
[Investigation of Clinical Utility of Radiological Technologist's Reading Report as a Second Opinion for Medical Doctor Reading of Digital Mammogram].
Nihon Hoshasen Gijutsu Gakkai Zasshi;
76(10): 997-1008, 2020.
Artículo
en Japonés
| MEDLINE | ID: mdl-33087659
3.
[Development of Automated Positioning System in General Radiography Examination-Application to Four Directions Cervical Spine Radiography].
Nihon Hoshasen Gijutsu Gakkai Zasshi;
75(4): 305-313, 2019.
Artículo
en Japonés
| MEDLINE | ID: mdl-31006750
4.
[Image Evaluation with Paired Comparison Method Using Automatic Analysis Software: Comparison of CT Images with Simulated Levels of Exposure Dose].
Nihon Hoshasen Gijutsu Gakkai Zasshi;
75(1): 32-39, 2019.
Artículo
en Japonés
| MEDLINE | ID: mdl-30662030
5.
[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.
Artículo
en Japonés
| MEDLINE | ID: mdl-30662029
6.
[Automated Detection of Radiopaque Markers in Chest and Abdomen Radiography].
Nihon Hoshasen Gijutsu Gakkai Zasshi;
74(4): 344-353, 2018.
Artículo
en Japonés
| MEDLINE | ID: mdl-29681601
7.
[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.
Artículo
en Japonés
| MEDLINE | ID: mdl-30568088
8.
Computer-aided diagnosis for estimating the malignancy grade of hepatocellular carcinoma using contrast-enhanced ultrasound: an ROC observer study.
Liver Int;
36(7): 1026-32, 2016 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-26681659
9.
[What We Have Learned from the COVID-19 Pandemic].
Nihon Hoshasen Gijutsu Gakkai Zasshi;
77(1): I, 2021.
Artículo
en Japonés
| MEDLINE | ID: mdl-33473088
10.
Image Data Mining for Pattern Classification and Visualization of Morphological Changes in Brain MR Images.
Nihon Hoshasen Gijutsu Gakkai Zasshi;
72(2): 149-56, 2016 02.
Artículo
en Japonés
| MEDLINE | ID: mdl-26902379
11.
Eigenspace template matching for detection of lacunar infarcts on MR images.
J Digit Imaging;
28(1): 116-22, 2015 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-24942983
12.
[The Future of Radiological Sciences and Artificial Intelligence].
Nihon Hoshasen Gijutsu Gakkai Zasshi;
76(1): I, 2020.
Artículo
en Japonés
| MEDLINE | ID: mdl-31956192
13.
[10ï¼Basic Technique and Practical Tips for Making Well-organized English Slides].
Nihon Hoshasen Gijutsu Gakkai Zasshi;
76(6): 607-612, 2020.
Artículo
en Japonés
| MEDLINE | ID: mdl-32565519
14.
Incident reports related to tasks performed by radiological technologists: an analysis of ten years of incident reports.
Nihon Hoshasen Gijutsu Gakkai Zasshi;
71(2): 99-107, 2015 02.
Artículo
en Japonés
| MEDLINE | ID: mdl-25748010
15.
[Takiuchi Prize Winners Talk about Radiological Technology Research].
Nihon Hoshasen Gijutsu Gakkai Zasshi;
76(1): 1-15, 2020.
Artículo
en Japonés
| MEDLINE | ID: mdl-31956177
16.
Temporal subtraction method for lung nodule detection on successive thoracic CT soft-copy images.
Radiology;
271(1): 255-61, 2014 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-24475812
17.
[Looking Back on the 10th Anniversary of Radiological Physics and Technology(RPT)].
Nihon Hoshasen Gijutsu Gakkai Zasshi;
75(1): 1-12, 2019.
Artículo
en Japonés
| MEDLINE | ID: mdl-30662024
18.
[In Order to Publish Your Article in RPT: Authors× Reviewers=Good Science].
Nihon Hoshasen Gijutsu Gakkai Zasshi;
75(10): 1179-1186, 2019.
Artículo
en Japonés
| MEDLINE | ID: mdl-31631112
19.
Improved detection of cholesterol gallstones using quasi-material decomposition images generated from single-energy computed tomography images via deep learning.
Radiol Phys Technol;
17(2): 360-366, 2024 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-38393491
20.
Task-based assessment of resolution properties of CT images with a new index using deep convolutional neural network.
Radiol Phys Technol;
17(1): 83-92, 2024 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-37930564