Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization (English)
- New search for: Dehghani, N.
- New search for: Scheeve, T.
- New search for: Boers, T. G. W.
- New search for: van der Zander, Q. E. W.
- New search for: Thijssen, A.
- New search for: Schreuder, R.
- New search for: Masclee, A. A. M.
- New search for: Schoon, E. J.
- New search for: van der Sommen, F.
- New search for: de With, P. H. N.
- New search for: Dehghani, N.
- New search for: Scheeve, T.
- New search for: Boers, T. G. W.
- New search for: van der Zander, Q. E. W.
- New search for: Thijssen, A.
- New search for: Schreuder, R.
- New search for: Masclee, A. A. M.
- New search for: Schoon, E. J.
- New search for: van der Sommen, F.
- New search for: de With, P. H. N.
In:
Proc. SPIE
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12465
; 124651G
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2023
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ISBN:
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ISSN:
- Conference paper / Electronic Resource
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Title:Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization
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Contributors:Dehghani, N. ( author ) / Scheeve, T. ( author ) / Boers, T. G. W. ( author ) / van der Zander, Q. E. W. ( author ) / Thijssen, A. ( author ) / Schreuder, R. ( author ) / Masclee, A. A. M. ( author ) / Schoon, E. J. ( author ) / van der Sommen, F. ( author ) / de With, P. H. N. ( author )
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Conference:Medical Imaging 2023: Computer-Aided Diagnosis ; 2023 ; San Diego,California,United States
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Published in:Proc. SPIE ; 12465 ; 124651G
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Publisher:
- New search for: SPIE
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Publication date:2023-04-07
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ISBN:
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ISSN:
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DOI:
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Type of media:Conference paper
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Type of material:Electronic Resource
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Language:English
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Source:
Table of contents conference proceedings
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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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