H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor
Segmentation from CT Volumes

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

21 September 2017

Xiaomeng Li

Hao Chen

Xiaojuan Qi

Pheng Ann Heng

Papers citing "H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes"

5 / 5 papers shown

Title
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation Ziyuan Zhao Zeyu Ma Yanjie Liu Zeng Zeng P. Chow 27 8 0 15 Aug 2021
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 29 772 0 27 Sep 2018
No New-Net Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier-Hein SSeg 28 394 0 27 Sep 2018
Isointense Infant Brain Segmentation with a Hyper-dense Connected Convolutional Neural Network Jose Dolz Ismail Ben Ayed Jing Yuan Christian Desrosiers 19 10 0 16 Oct 2017
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method Xiao Han MedIm 41 155 0 24 Apr 2017