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Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic
  Liver and Tumor Segmentation

Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation

12 October 2017
Yading Yuan
ArXivPDFHTML

Papers citing "Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation"

16 / 16 papers shown
Title
AI Radiologist: Revolutionizing Liver Tissue Segmentation with
  Convolutional Neural Networks and a Clinician-Friendly GUI
AI Radiologist: Revolutionizing Liver Tissue Segmentation with Convolutional Neural Networks and a Clinician-Friendly GUI
Ayman Al-Kababji
F. Bensaali
S. Dakua
Yassine Himeur
MedIm
38
0
0
11 Jun 2024
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch
  Decoder Network
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network
Shuxin Wang
Shilei Cao
Zhizhong Chai
Dong Wei
Kai Ma
Liansheng Wang
Yefeng Zheng
MedIm
12
16
0
07 Mar 2022
Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau Vs
  OneCycleLR
Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau Vs OneCycleLR
Ayman Al-Kababji
F. Bensaali
S. Dakua
17
36
0
13 Feb 2022
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
19
14
0
03 Oct 2021
Evaluation of Preprocessing Techniques for U-Net Based Automated Liver
  Segmentation
Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation
Muhammad Islam
Kaleem Nawaz Khan
Muhammad Salman Khan
8
9
0
26 Mar 2021
Automated liver tissues delineation techniques: A systematic survey on
  machine learning current trends and future orientations
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
Ayman Al-Kababji
F. Bensaali
S. Dakua
Yassine Himeur
36
21
0
10 Mar 2021
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas
  Segmentation: Application to Automatic Pathological Liver CT Segmentation
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation
Changfa Shi
Min Xian
Xiancheng Zhou
Haotian Wang
Heng-Da Cheng
26
15
0
24 Feb 2021
Automatic Brain Tumor Segmentation with Scale Attention Network
Automatic Brain Tumor Segmentation with Scale Attention Network
Yading Yuan
30
31
0
06 Nov 2020
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
30
544
0
28 Sep 2020
Volumetric Attention for 3D Medical Image Segmentation and Detection
Volumetric Attention for 3D Medical Image Segmentation and Detection
Xudong Wang
Shizhong Han
Yunqiang Chen
Dashan Gao
Nuno Vasconcelos
3DPC
26
81
0
04 Apr 2020
Multi-organ Segmentation over Partially Labeled Datasets with
  Multi-scale Feature Abstraction
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction
Xi Fang
Pingkun Yan
SSeg
15
172
0
01 Jan 2020
Unified Multi-scale Feature Abstraction for Medical Image Segmentation
Unified Multi-scale Feature Abstraction for Medical Image Segmentation
Xi Fang
Bo Du
Sheng Xu
B. Wood
Pingkun Yan
MedIm
SSeg
6
6
0
24 Oct 2019
Hybrid Cascaded Neural Network for Liver Lesion Segmentation
Hybrid Cascaded Neural Network for Liver Lesion Segmentation
Raunak Dey
Yi Hong
23
21
0
11 Sep 2019
RA-UNet: A hybrid deep attention-aware network to extract liver and
  tumor in CT scans
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
Qiangguo Jin
Zhao-Peng Meng
Changming Sun
Leyi Wei
R. Su
MedIm
19
354
0
04 Nov 2018
Improving Dermoscopic Image Segmentation with Enhanced
  Convolutional-Deconvolutional Networks
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks
Yading Yuan
Y. Lo
134
224
0
28 Sep 2017
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
Xiaomeng Li
Hao Chen
Xiaojuan Qi
Qi Dou
Chi-Wing Fu
Pheng Ann Heng
36
101
0
21 Sep 2017
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