Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Qu, Chongyu"'
Autor:
Li, Wenxuan, Qu, Chongyu, Chen, Xiaoxi, Bassi, Pedro R. A. S., Shi, Yijia, Lai, Yuxiang, Yu, Qian, Xue, Huimin, Chen, Yixiong, Lin, Xiaorui, Tang, Yutong, Cao, Yining, Han, Haoqi, Zhang, Zheyuan, Liu, Jiawei, Zhang, Tiezheng, Ma, Yujiu, Wang, Jincheng, Zhang, Guang, Yuille, Alan, Zhou, Zongwei
We introduce the largest abdominal CT dataset (termed AbdomenAtlas) of 20,460 three-dimensional CT volumes sourced from 112 hospitals across diverse populations, geographies, and facilities. AbdomenAtlas provides 673K high-quality masks of anatomical
Externí odkaz:
http://arxiv.org/abs/2407.16697
Interactive segmentation, an integration of AI algorithms and human expertise, premises to improve the accuracy and efficiency of curating large-scale, detailed-annotated datasets in healthcare. Human experts revise the annotations predicted by AI, a
Externí odkaz:
http://arxiv.org/abs/2402.19423
Autor:
Li, Jianning, Zhou, Zongwei, Yang, Jiancheng, Pepe, Antonio, Gsaxner, Christina, Luijten, Gijs, Qu, Chongyu, Zhang, Tiezheng, Chen, Xiaoxi, Li, Wenxuan, Wodzinski, Marek, Friedrich, Paul, Xie, Kangxian, Jin, Yuan, Ambigapathy, Narmada, Nasca, Enrico, Solak, Naida, Melito, Gian Marco, Vu, Viet Duc, Memon, Afaque R., Schlachta, Christopher, De Ribaupierre, Sandrine, Patel, Rajnikant, Eagleson, Roy, Chen, Xiaojun, Mächler, Heinrich, Kirschke, Jan Stefan, de la Rosa, Ezequiel, Christ, Patrick Ferdinand, Li, Hongwei Bran, Ellis, David G., Aizenberg, Michele R., Gatidis, Sergios, Küstner, Thomas, Shusharina, Nadya, Heller, Nicholas, Andrearczyk, Vincent, Depeursinge, Adrien, Hatt, Mathieu, Sekuboyina, Anjany, Löffler, Maximilian, Liebl, Hans, Dorent, Reuben, Vercauteren, Tom, Shapey, Jonathan, Kujawa, Aaron, Cornelissen, Stefan, Langenhuizen, Patrick, Ben-Hamadou, Achraf, Rekik, Ahmed, Pujades, Sergi, Boyer, Edmond, Bolelli, Federico, Grana, Costantino, Lumetti, Luca, Salehi, Hamidreza, Ma, Jun, Zhang, Yao, Gharleghi, Ramtin, Beier, Susann, Sowmya, Arcot, Garza-Villarreal, Eduardo A., Balducci, Thania, Angeles-Valdez, Diego, Souza, Roberto, Rittner, Leticia, Frayne, Richard, Ji, Yuanfeng, Ferrari, Vincenzo, Chatterjee, Soumick, Dubost, Florian, Schreiber, Stefanie, Mattern, Hendrik, Speck, Oliver, Haehn, Daniel, John, Christoph, Nürnberger, Andreas, Pedrosa, João, Ferreira, Carlos, Aresta, Guilherme, Cunha, António, Campilho, Aurélio, Suter, Yannick, Garcia, Jose, Lalande, Alain, Vandenbossche, Vicky, Van Oevelen, Aline, Duquesne, Kate, Mekhzoum, Hamza, Vandemeulebroucke, Jef, Audenaert, Emmanuel, Krebs, Claudia, van Leeuwen, Timo, Vereecke, Evie, Heidemeyer, Hauke, Röhrig, Rainer, Hölzle, Frank, Badeli, Vahid, Krieger, Kathrin, Gunzer, Matthias, Chen, Jianxu, van Meegdenburg, Timo, Dada, Amin, Balzer, Miriam, Fragemann, Jana, Jonske, Frederic, Rempe, Moritz, Malorodov, Stanislav, Bahnsen, Fin H., Seibold, Constantin, Jaus, Alexander, Marinov, Zdravko, Jaeger, Paul F., Stiefelhagen, Rainer, Santos, Ana Sofia, Lindo, Mariana, Ferreira, André, Alves, Victor, Kamp, Michael, Abourayya, Amr, Nensa, Felix, Hörst, Fabian, Brehmer, Alexander, Heine, Lukas, Hanusrichter, Yannik, Weßling, Martin, Dudda, Marcel, Podleska, Lars E., Fink, Matthias A., Keyl, Julius, Tserpes, Konstantinos, Kim, Moon-Sung, Elhabian, Shireen, Lamecker, Hans, Zukić, Dženan, Paniagua, Beatriz, Wachinger, Christian, Urschler, Martin, Duong, Luc, Wasserthal, Jakob, Hoyer, Peter F., Basu, Oliver, Maal, Thomas, Witjes, Max J. H., Schiele, Gregor, Chang, Ti-chiun, Ahmadi, Seyed-Ahmad, Luo, Ping, Menze, Bjoern, Reyes, Mauricio, Deserno, Thomas M., Davatzikos, Christos, Puladi, Behrus, Fua, Pascal, Yuille, Alan L., Kleesiek, Jens, Egger, Jan
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit s
Externí odkaz:
http://arxiv.org/abs/2308.16139
Autor:
Qu, Chongyu, Zhang, Tiezheng, Qiao, Hualin, Liu, Jie, Tang, Yucheng, Yuille, Alan, Zhou, Zongwei
Annotating medical images, particularly for organ segmentation, is laborious and time-consuming. For example, annotating an abdominal organ requires an estimated rate of 30-60 minutes per CT volume based on the expertise of an annotator and the size,
Externí odkaz:
http://arxiv.org/abs/2305.09666
Autor:
Qu, Chongyu, Zhang, Tiezheng, Qiao, Hualin, Liu, Jie, Tang, Yucheng, Yuille, Alan, Zhou, Zongwei
Annotating medical images, particularly for organ segmentation, is laborious and time-consuming. For example, annotating an abdominal organ requires an estimated rate of 30-60 minutes per CT volume based on the expertise of an annotator and the size,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc4bafd7c6032dfb198c92c2c101276f
http://arxiv.org/abs/2305.09666
http://arxiv.org/abs/2305.09666
Autor:
Li W; Department of Computer Science, Johns Hopkins University, United States of America., Qu C; Department of Computer Science, Johns Hopkins University, United States of America., Chen X; Department of Bioengineering, University of Illinois Urbana-Champaign, United States of America., Bassi PRAS; Department of Computer Science, Johns Hopkins University, United States of America; Alma Mater Studiorum - University of Bologna, Italy; Center for Biomolecular Nanotechnologies, Istituto Italiano di Tecnologia, Italy., Shi Y; LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China., Lai Y; Department of Computer Science, Johns Hopkins University, United States of America; Department of Computer Science, Southeast University, China., Yu Q; Department of Radiology, Southeast University Zhongda Hospital, China., Xue H; Department of Medical Oncology, The First Hospital of China Medical University, China., Chen Y; Department of Computer Science, Johns Hopkins University, United States of America., Lin X; The Second Clinical College, China Medical University, China., Tang Y; The Second Clinical College, China Medical University, China., Cao Y; The Second Clinical College, China Medical University, China., Han H; The Second Clinical College, China Medical University, China., Zhang Z; Department of Mechanical Engineering and the Laboratory of Computational Sensing and Robotics, Johns Hopkins University, United States of America., Liu J; Department of Mechanical Engineering and the Laboratory of Computational Sensing and Robotics, Johns Hopkins University, United States of America., Zhang T; Department of Computer Science, Johns Hopkins University, United States of America., Ma Y; Center of Reproductive Medicine, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, China., Wang J; Radiology Department, the First Affiliated Hospital, School of Medicine, Zhejiang University, China., Zhang G; Department of Health Management, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, China; Shandong Engineering Research Center of Health Management, China; Shandong Institute of Health Management, China., Yuille A; Department of Computer Science, Johns Hopkins University, United States of America., Zhou Z; Department of Computer Science, Johns Hopkins University, United States of America. Electronic address: zzhou82@jh.edu.
Publikováno v:
Medical image analysis [Med Image Anal] 2024 Oct; Vol. 97, pp. 103285. Date of Electronic Publication: 2024 Jul 30.
