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2D-Densely Connected Convolution Neural Networks for automatic Liver and
  Tumor Segmentation

2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation

5 January 2018
Krishna Chaitanya Kaluva
Mahendra Khened
Avinash Kori
Ganapathy Krishnamurthi
    MedIm
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Papers citing "2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation"

2 / 2 papers shown
Title
EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic
  liver segmentation in CT
EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic liver segmentation in CT
Jinke Wang
Xiangyang Zhang
Peiqing Lv
Lubiao Zhou
Haiying Wang
SSeg
27
14
0
03 Oct 2021
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
A. Nandi
SSeg
OOD
33
544
0
28 Sep 2020
1