Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing (Englisch)
- Neue Suche nach: Melendez-Corres, G.
- Neue Suche nach: Choi, Y.
- Neue Suche nach: Wahi-Anwar, M.
- Neue Suche nach: Coy, H.
- Neue Suche nach: Raman, S.
- Neue Suche nach: Brown, M.
- Neue Suche nach: Melendez-Corres, G.
- Neue Suche nach: Choi, Y.
- Neue Suche nach: Wahi-Anwar, M.
- Neue Suche nach: Coy, H.
- Neue Suche nach: Raman, S.
- Neue Suche nach: Brown, M.
In:
Medical Imaging 2023: Computer-Aided Diagnosis
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124651U-124651U-5
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2023
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ISBN:
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ISSN:
- Aufsatz (Konferenz) / Print
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Titel:Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing
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Beteiligte:Melendez-Corres, G. ( Autor:in ) / Choi, Y. ( Autor:in ) / Wahi-Anwar, M. ( Autor:in ) / Coy, H. ( Autor:in ) / Raman, S. ( Autor:in ) / Brown, M. ( Autor:in )
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Kongress:Medical Imaging 2023: Computer-Aided Diagnosis
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Erschienen in:Medical Imaging 2023: Computer-Aided Diagnosis ; 124651U-124651U-5Proceedings of SPIE, the International Society for Optical Engineering ; 12465 ; 124651U-124651U-5
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Verlag:
- Neue Suche nach: SPIE
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Erscheinungsdatum:01.01.2023
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Format / Umfang:124651U-124651U-5
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ISBN:
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ISSN:
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Medientyp:Aufsatz (Konferenz)
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Format:Print
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Sprache:Englisch
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Datenquelle:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
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The importance of data domain on self-supervised learning for brain metastasis detection and segmentationYoo, Youngjin / Zhao, Gengyan / Sandu, Andreea E. / Re, Thomas J. / Das, Jyotipriya / Wang, Hesheng / Kim, Michelle / Shen, Colette / Lee, Yueh / Kondziolka, Douglas et al. | 2023
- 1246530
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Renal parenchyma segmentation based on a cascaded self-adaptive framework with local context-aware mix-up regularization in abdominal MR imagesJeong, Heeyoung / Kim, Hyeonjin / Hong, Helen / Jung, Dae Chul / Chang, Kidon / Rha, Koon Ho et al. | 2023
- 1246531
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Cross modal global local representation learning from radiology reports and x-ray chest imagesHadjiyski, Nathan / Vosoughi, Ali / Wismüller, Axel et al. | 2023
- 1246532
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Bladder cancer segmentation using U-Net-based deep-learningClever, Jonathan / Hadjiiski, Lubomir / Chan, Heang-Ping / Cohan, Richard H. / Caoili, Elaine M. / Cha, Kenny / Samala, Ravi / Zhou, Chuan et al. | 2023
- 1246533
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Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomicsSun, Di / Hadjiiski, Lubomir / Chan, Heang-Ping / Cohan, Richard H. / Caoili, Elaine M. / Alva, Ajjai / Cha, Kenny H. / Samala, Ravi K. / Zhou, Chuan et al. | 2023
- 1246534
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Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixerOda, Masahiro / Zheng, Tong / Hayashi, Yuichiro / Otake, Yoshito / Hashimoto, Masahiro / Akashi, Toshiaki / Aoki, Shigeki / Mori, Kensaku et al. | 2023
- 1246535
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A 2D U-NET combined model based on lesion size for automated stroke lesion segmentationYadav, Ipsa / Bahel, Vaibhav / De Guio, François / Desai, Juhi / Gupta, Nikhil / Poonamallee, Latha et al. | 2023
- 1246536
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Medical knowledge-guided deep learning for mammographic breast density classificationGao, Long / Liu, Chang / Arefan, Dooman / Panigrahy, Ashok / Zuley, Margarita L. / Wu, Shandong et al. | 2023
- 1246537
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A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19Kitrungrotsakul, Titinunt / Chen, Qingqing / Wu, Huitao / Srichola, Preeyanuch / Hu, Hongjie / Zhu, Wenchao / Chen, Chao / Xu, Fangyi / Zhou, Yong / Lin, Lanfen et al. | 2023
- 1246538
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3D universal lesion detection and tagging in CT with self-trainingFrazier, Jared / Mathai, Tejas Sudharshan / Liu, Jianfei / Paul, Angshuman / Summers, Ronald M. et al. | 2023
- 1246539
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Recognition of tooth numbers and conditions on dental panoramic radiographs for assisting dental chart filingMuramatsu, Chisako / Sakai, Koki / Seino, Yuta / Takahashi, Ryo / Hayashi, Tatsuro / Nishiyama, Wataru / Zhou, Xiangrong / Hara, Takeshi / Katsumata, Akitoshi / Fujita, Hiroshi et al. | 2023