From post

копировать удалить добавить публикацию в буфер
Запись сообщества
посмотреть историю данной записи
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): Consolidation, ground-glass opacity (GGO), and normal opacity.

N. Hashimoto, K. Suzuki, J. Liu, Y. Hirano, H. MacMahon, и S. Kido. Medical Imaging: Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 1057536. SPIE, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Eiichi Kido

Ladislav Kido

Vassilios Kidonopoulos

Rafael Shoji

Shoji Wada

Другие публикации лиц с тем же именем

Computer-aided diagnosis for distinction between benign and malignant pulmonary nodules on chest radiographs using temporal subtraction images.N. Oda, S. Kido, S. Yamada, T. Aoki, H. Watanabe, Y. Korogi, S. Katsuragawa, и K. Doi. CARS, том 1268 из International Congress Series, стр. 911-916. Elsevier, (2004)Automatic identification of lung candidate nodules on chest CT images based on temporal subtraction images.S. Tanaka, Y. Ikeda, H. Kim, J. Tan, S. Ishikawa, S. Murakami, T. Aoki, R. Tachibana, Y. Hirano, и S. Kido. SCIS&ISIS, стр. 1364-1368. IEEE, (2014)Low-cost soft-copy display accuracy in the detection of pulmonary nodules by single-exposure dual-energy subtraction: Comparison with hard-copy viewing.S. Kido, K. Kuriyama, N. Hosomi, E. Inoue, C. Kuroda, и T. Horai. J. Digit. Imaging, 13 (1): 33-37 (2000)Semantic characteristics prediction of pulmonary nodule using Artificial Neural Networks.G. Li, H. Kim, J. Tan, S. Ishikawa, Y. Hirano, S. Kido, и R. Tachibana. EMBC, стр. 5465-5468. IEEE, (2013)Automatic characterization of liver tumors from multi-phase CT images.K. Otani, D. Nishigaki, T. Hatsutani, T. Takamoto, Y. Suzuki, S. Kido, и N. Tomiyama. Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images.R. Xu, X. Cao, Y. Wang, Y. Chen, X. Ye, L. Lin, W. Zhu, C. Chen, F. Xu, Y. Zhou и 3 other автор(ы). ICPR, стр. 9007-9014. IEEE, (2020)Transparent visualization of large-scale and complex polygon meshes using a stochastic point-based rendering method.R. Xu, S. Tanaka, K. Hasegawa, W. Sheng, T. Tateyama, Y. Chen, и S. Kido. SIGGRAPH Asia Visualization in High Performance Computing, стр. 9:1-9:4. ACM, (2015)Detection of Abnormal Regions on Temporal Subtraction Images based on CNN.M. Nagao, H. Lu, H. Kim, T. Aoki, и S. Kido. ICBIP, стр. 83-86. ACM, (2019)Detection of Abnormal Opacity on Chest CT Images Using A 3D-CNN.Y. Koizumi, T. Kamiya, T. Aoki, и S. Kido. ICBBE, стр. 26-29. ACM, (2021)BG-Net: Boundary-Guided Network for Lung Segmentation on Clinical CT Images.R. Xu, Y. Wang, T. Liu, X. Ye, L. Lin, Y. Chen, S. Kido, и N. Tomiyama. ICPR, стр. 8782-8788. IEEE, (2020)

BibSonomy

Disambiguation