One Network to Segment Them All: A General, Lightweight System for
Accurate 3D Medical Image Segmentation

One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation

5 November 2019

Mathias Perslev

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Papers citing "One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation"

8 / 8 papers shown

Title
OCTAMamba: A State-Space Model Approach for Precision OCTA Vasculature Segmentation Shun Zou Zhuo Zhang Guangwei Gao Mamba 178 1 0 03 Jan 2025
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Mathias Perslev M. Jensen S. Darkner P. Jennum Christian Igel AI4TS 129 251 0 24 Oct 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani ... M. McHugo S. Napel Eugene Vorontsov Lena Maier-Hein M. Jorge Cardoso 117 862 0 25 Feb 2019
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation Fabian Isensee Jens Petersen André Klein David Zimmerer Paul F. Jaeger ... Jakob Wasserthal Gregor Koehler T. Norajitra Sebastian J. Wirkert Klaus H. Maier-Hein SSeg 93 789 0 27 Sep 2018
Towards integrating spatial localization in convolutional neural networks for brain image segmentation Pierre-Antoine Ganaye M. Sdika H. Benoit-Cattin SSeg 23 9 0 12 Apr 2018
Automatic segmentation of MR brain images with a convolutional neural network P. Moeskops M. Viergever A. Mendrik L. D. Vries M. Benders Ivana Išgum 50 785 0 11 Apr 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,378 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,341 0 11 Feb 2015