Search Results - "multi-class image segmentation"

Deep Multi-Magnification Networks for multi-class breast cancer image segmentation by Ho, David Joon, Yarlagadda, Dig V.K., D’Alfonso, Timothy M., Hanna, Matthew G., Grabenstetter, Anne, Ntiamoah, Peter, Brogi, Edi, Tan, Lee K., Fuchs, Thomas J.

“…•Multi-Magnification Network segments multiple tissue subtypes on pathology images.•Features from both high magnifications and low magnifications are fully…”
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Fetal brain tissue annotation and segmentation challenge results by Payette, Kelly, Li, Hongwei Bran, de Dumast, Priscille, Licandro, Roxane, Ji, Hui, Siddiquee, Md Mahfuzur Rahman, Xu, Daguang, Myronenko, Andriy, Liu, Hao, Pei, Yuchen, Wang, Lisheng, Peng, Ying, Xie, Juanying, Zhang, Huiquan, Dong, Guiming, Fu, Hao, Wang, Guotai, Rieu, ZunHyan, Kim, Donghyeon, Kim, Hyun Gi, Karimi, Davood, Gholipour, Ali, Torres, Helena R., Oliveira, Bruno, Vilaça, João L., Lin, Yang, Avisdris, Netanell, Ben-Zvi, Ori, Bashat, Dafna Ben, Fidon, Lucas, Aertsen, Michael, Vercauteren, Tom, Sobotka, Daniel, Langs, Georg, Alenyà, Mireia, Villanueva, Maria Inmaculada, Camara, Oscar, Fadida, Bella Specktor, Joskowicz, Leo, Weibin, Liao, Yi, Lv, Xuesong, Li, Mazher, Moona, Qayyum, Abdul, Puig, Domenec, Kebiri, Hamza, Zhang, Zelin, Xu, Xinyi, Wu, Dan, Liao, Kuanlun, Wu, Yixuan, Chen, Jintai, Xu, Yunzhi, Zhao, Li, Vasung, Lana, Menze, Bjoern, Cuadra, Meritxell Bach, Jakab, Andras

“…•Benchmark for future automatic multi-tissue fetal brain segmentation algorithms.•Used the largest publicly available fetal brain dataset with manual…”
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Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results by Riera-Marín, Meritxell, O.K., Sikha, Rodríguez-Comas, Júlia, May, Matthias Stefan, Pan, Zhaohong, Zhou, Xiang, Liang, Xiaokun, Erick, Franciskus Xaverius, Prenner, Andrea, Hémon, Cédric, Boussot, Valentin, Dillenseger, Jean-Louis, Nunes, Jean-Claude, Qayyum, Abdul, Mazher, Moona, Niederer, Steven A., Kushibar, Kaisar, Martín-Isla, Carlos, Radeva, Petia, Lekadir, Karim, Barfoot, Theodore, Garcia Peraza Herrera, Luis C., Glocker, Ben, Vercauteren, Tom, Gago, Lucas, Englemann, Justin, Kleiss, Joy-Marie, Aubanell, Anton, Antolin, Andreu, García-López, Javier, González Ballester, Miguel A., Galdrán, Adrián

“…Deep learning (DL) has become the dominant approach for medical image segmentation, yet ensuring the reliability and clinical applicability of these models…”
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Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results by Payette, Kelly, Steger, Celine, Licandro, Roxane, Dumast, Priscille de, Li, Hongwei Bran, Barkovich, Matthew, Li, Liu, Dannecker, Maik, Chen, Chen, Ouyang, Cheng, McConnell, Niccolo, Miron, Alina, Li, Yongmin, Uus, Alena, Grigorescu, Irina, Gilliland, Paula Ramirez, Siddiquee, Md Mahfuzur Rahman, Xu, Daguang, Myronenko, Andriy, Wang, Haoyu, Huang, Ziyan, Ye, Jin, Alenya, Mireia, Comte, Valentin, Camara, Oscar, Masson, Jean-Baptiste, Nilsson, Astrid, Godard, Charlotte, Mazher, Moona, Qayyum, Abdul, Gao, Yibo, Zhou, Hangqi, Gao, Shangqi, Fu, Jia, Dong, Guiming, Wang, Guotai, Rieu, ZunHyan, Yang, HyeonSik, Lee, Minwoo, Plotka, Szymon, Grzeszczyk, Michal K., Sitek, Arkadiusz, Daza, Luisa Vargas, Usma, Santiago, Arbelaez, Pablo, Lu, Wenying, Zhang, Wenhao, Liang, Jing, Valabregue, Romain, Joshi, Anand A., Nayak, Krishna N., Leahy, Richard M., Wilhelmi, Luca, Dandliker, Aline, Ji, Hui, Gennari, Antonio G., Jakovcic, Anton, Klaic, Melita, Adzic, Ana, Markovic, Pavel, Grabaric, Gracia, Kasprian, Gregor, Dovjak, Gregor, Rados, Milan, Vasung, Lana, Cuadra, Meritxell Bach, Jakab, Andras

“…Segmentation is a critical step in analyzing the developing human fetal brain. There have been vast improvements in automatic segmentation methods in the past…”
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Multi-Class Segmentation with Relative Location Prior by Gould, Stephen, Rodgers, Jim, Cohen, David, Elidan, Gal, Koller, Daphne

“…Multi-class image segmentation has made significant advances in recent years through the combination of local and global features. One important type of global…”
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Multiclass Image Segmentation using Deep Residual Encoder-Decoder Models in Highly Turbid Underwater Ambiances by Haridas, T. P. Mithun, Kamal, Suraj, Balakrishnan, Arun A., Thomas, Rosemol, Nezla, N. A., Balakrishnan, Kannan, Supriya, M. H.

“…Underwater environments, especially the coral reefs, are the habitat of many critically endangered species. Extensive monitoring of these aquatic ecosystems is…”
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Fetal brain tissue annotation and segmentation challenge results by Kelly Payette, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Li Xuesong, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, Kuanlun Liao, Yixuan Wu, Jintai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern Menze, Meritxell Bach Cuadra, Andras Jakab

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Post-processing for Thorax Imaging based on Electrical Impedance Tomography using Deep Learning by Haddad, Hamdi, Hafsa, Mariem, Bader, Oumaima, Ben Amara, Najoua Essoukri, Kanoun, Olfa

“…Electrical Impedance Tomography (EIT) for lung monitoring is a non-ionizing medical imaging technique that is on the rise in biomedical engineering research in…”
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