The Liver Tumor Segmentation Benchmark (LiTS)

Autor: Bilic, Patrick, Christ, Patrick, Li, Hongwei Bran, Vorontsov, Eugene, Ben-Cohen, Avi, Kaissis, Georgios, Szeskin, Adi, Jacobs, Colin, Mamani, Gabriel Efrain Humpire, Chartrand, Gabriel, Lohöfer, Fabian, Holch, Julian Walter, Sommer, Wieland, Hofmann, Felix, Hostettler, Alexandre, Lev-Cohain, Naama, Drozdzal, Michal, Amitai, Michal Marianne, Vivantik, Refael, Sosna, Jacob, Ezhov, Ivan, Sekuboyina, Anjany, Navarro, Fernando, Kofler, Florian, Paetzold, Johannes C., Shit, Suprosanna, Hu, Xiaobin, Lipková, Jana, Rempfler, Markus, Piraud, Marie, Kirschke, Jan, Wiestler, Benedikt, Zhang, Zhiheng, Hülsemeyer, Christian, Beetz, Marcel, Ettlinger, Florian, Antonelli, Michela, Bae, Woong, Bellver, Míriam, Bi, Lei, Chen, Hao, Chlebus, Grzegorz, Dam, Erik B., Dou, Qi, Fu, Chi-Wing, Georgescu, Bogdan, Giró-i-Nieto, Xavier, Gruen, Felix, Han, Xu, Heng, Pheng-Ann, Hesser, Jürgen, Moltz, Jan Hendrik, Igel, Christian, Isensee, Fabian, Jäger, Paul, Jia, Fucang, Kaluva, Krishna Chaitanya, Khened, Mahendra, Kim, Ildoo, Kim, Jae-Hun, Kim, Sungwoong, Kohl, Simon, Konopczynski, Tomasz, Kori, Avinash, Krishnamurthi, Ganapathy, Li, Fan, Li, Hongchao, Li, Junbo, Li, Xiaomeng, Lowengrub, John, Ma, Jun, Maier-Hein, Klaus, Maninis, Kevis-Kokitsi, Meine, Hans, Merhof, Dorit, Pai, Akshay, Perslev, Mathias, Petersen, Jens, Pont-Tuset, Jordi, Qi, Jin, Qi, Xiaojuan, Rippel, Oliver, Roth, Karsten, Sarasua, Ignacio, Schenk, Andrea, Shen, Zengming, Torres, Jordi, Wachinger, Christian, Wang, Chunliang, Weninger, Leon, Wu, Jianrong, Xu, Daguang, Yang, Xiaoping, Yu, Simon Chun-Ho, Yuan, Yading, Yu, Miao, Zhang, Liping, Cardoso, Jorge, Bakas, Spyridon, Braren, Rickmer, Heinemann, Volker, Pal, Christopher, Tang, An, Kadoury, Samuel, Soler, Luc, van Ginneken, Bram, Greenspan, Hayit, Joskowicz, Leo, Menze, Bjoern

Publikováno v: Medical Image Analysis (2022) Pg. 102680

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International Conferences on Medical I

Externí odkaz: http://arxiv.org/abs/1901.04056

Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

Autor: Christ, Patrick Ferdinand, Ettlinger, Florian, Grün, Felix, Elshaera, Mohamed Ezzeldin A., Lipkova, Jana, Schlecht, Sebastian, Ahmaddy, Freba, Tatavarty, Sunil, Bickel, Marc, Bilic, Patrick, Rempfler, Markus, Hofmann, Felix, Anastasi, Melvin D, Ahmadi, Seyed-Ahmad, Kaissis, Georgios, Holch, Julian, Sommer, Wieland, Braren, Rickmer, Heinemann, Volker, Menze, Bjoern

Automatic segmentation of the liver and hepatic lesions is an important step towards deriving quantitative biomarkers for accurate clinical diagnosis and computer-aided decision support systems. This paper presents a method to automatically segment l

Externí odkaz: http://arxiv.org/abs/1702.05970

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

Autor: Christ, Patrick Ferdinand, Elshaer, Mohamed Ezzeldin A., Ettlinger, Florian, Tatavarty, Sunil, Bickel, Marc, Bilic, Patrick, Rempfler, Markus, Armbruster, Marco, Hofmann, Felix, D'Anastasi, Melvin, Sommer, Wieland H., Ahmadi, Seyed-Ahmad, Menze, Bjoern H.

Automatic segmentation of the liver and its lesion is an important step towards deriving quantitative biomarkers for accurate clinical diagnosis and computer-aided decision support systems. This paper presents a method to automatically segment liver

Externí odkaz: http://arxiv.org/abs/1610.02177

BackMatter.

Publikováno v: Medical Image Computing & Computer-Assisted Intervention -- MICCAI 2016: Part III; 2016, p631-641, 11p

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 : 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I

Autor: Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells

The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016.Based on rigo