An attempt at beating the 3D U-Net

Fabian Isensee, Klaus H. Maier‐Hein

Type: Preprint

Publication Date: 2019-08-06

Citations: 13

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arXiv (Cornell University) - View

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+	The Liver Tumor Segmentation Benchmark (LiTS)	2022	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand
+	A large annotated medical image dataset for the development and evaluation of segmentation algorithms	2019	Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani Bram van Ginneken Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze
+	The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes	2019	Nicholas Heller Niranjan Sathianathen Arveen Kalapara Edward Walczak Keenan Moore Heather Kaluzniak Joel Rosenberg Paul Blake Zachary Rengel Makinna Oestreich
+	nnU-Net: Breaking the Spell on Successful Medical Image Segmentation.	2019	Fabian Isensee Jens Petersen Simon Kohl Paul F. Jäger Klaus H. Maier‐Hein
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi
+ PDF Chat	Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes	2018	Ahmed Taha Pechin Lo Junning Li Tao Zhao
+ PDF Chat	H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes	2018	Xiaomeng Li Hao Chen Xiaojuan Qi Qi Dou Chi‐Wing Fu Pheng‐Ann Heng
+ PDF Chat	Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images	2019	Qian Yu Yinghuan Shi Jinquan Sun Yang Gao Jianbing Zhu Yakang Dai
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein