Hisaichi Shibata   Shouhei Hanaoka   Yukihiro Nomura   Takahiro Nakao   Issei Sato   Daisuke Sato   Naoto Hayashi   Osamu Abe   
International journal of computer assisted radiology and surgery 16(12) 2261-2267 2021年8月 [査読有り]
PURPOSE: Radiologists interpret many medical images and clinical practice demands timely interpretation, resulting in a heavy workload. To reduce the workload, here we formulate and validate a method that can handle different types of medical imag...
Japanese journal of radiology 39(7) 652-658 2021年7月 [査読有り]
PURPOSE: The clinical usefulness of computer-aided detection of cerebral aneurysms has been investigated using different methods to present lesion candidates, but suboptimal methods may have limited its usefulness. We compared three presentation m...
Japanese journal of radiology 39(11) 1039-1048 2021年6月 [査読有り]
PURPOSE: The performance of computer-aided detection (CAD) software depends on the quality and quantity of the dataset used for machine learning. If the data characteristics in development and practical use are different, the performance of CAD so...
PURPOSE: To evaluate the spatial patterns of missed lung nodules in a real-life routine screening environment. MATERIALS AND METHODS: In a screening institute, 4,822 consecutive adults underwent chest CT, and each image set was independently inter...
Journal of digital imaging 34(2) 418-427 2021年4月 [査読有り]
The purposes of this study are to propose an unsupervised anomaly detection method based on a deep neural network (DNN) model, which requires only normal images for training, and to evaluate its performance with a large chest radiograph dataset. W...
Machine learning algorithms are to analyze any dataset to extract data-driven model, prediction rule, or decision rule from the dataset. Various machine learning algorithms are now used to develop high-performance medical image processing systems ...