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Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks
20 February 2017
P. Christ
Florian Ettlinger
Felix Grün
M. Elshaer
Jana Lipkova
Sebastian J. Schlecht
F. Ahmaddy
S. Tatavarty
Marc Bickel
Patrick Bilic
Markus Rempfler
Felix O. Hofmann
M. D’Anastasi
Seyed-Ahmad Ahmadi
Georgios Kaissis
Julian Holch
Wieland Sommer
R. Braren
V. Heinemann
Bjoern Menze
MedIm
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Papers citing
"Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks"
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Enhanced Liver Tumor Detection in CT Images Using 3D U-Net and Bat Algorithm for Hyperparameter Optimization
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Yasmeen Al-Saeed
Nabila Eladawi
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141
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Annette Peters
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Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers
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Shubham Agrawal
Pavan Tummala
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S. Saalfeld
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263
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Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images
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Eunji Kim
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Sungroh Yoon
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279
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Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation
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Jian Zhang
T. Ling
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127
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14 Jun 2021
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
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Youbao Tang
Jinzheng Cai
K. Yan
Lingyun Huang
Guotong Xie
Jing Xiao
Jingjing Lu
Gigin Lin
Le Lu
206
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03 May 2021
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164
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26 Mar 2021
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355
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Xiongwei Mao
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159
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349
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Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans
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Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning
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472
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Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation
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Dhanunjaya Mitta
S. Chatterjee
Oliver Speck
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191
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Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey
Dan Zhao
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Thomas Lukasiewicz
Minmin Xue
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Artificial Intelligence: Research Impact on Key Industries; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020)
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Bone Segmentation in Contrast Enhanced Whole-Body Computed Tomography
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P. Leydon
M. O'Connell
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290
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Interactive Deep Refinement Network for Medical Image Segmentation
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164
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A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis
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Shaojie Tang
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333
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Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation
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Dihong Jiang
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Gastric histopathology image segmentation using a hierarchical conditional random field
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Chen Li
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294
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Liver segmentation and metastases detection in MR images using convolutional neural networks
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Hugo J. Kuijf
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J. Pluim
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193
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Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity
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299
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ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths
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Zhineng Chen
Shuai Zhao
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171
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Automatic segmentation of kidney and liver tumors in CT images
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D. Konovalov
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Peter Haddawy
MedIm
283
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153
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3D Organ Shape Reconstruction from Topogram Images
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147
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29 Mar 2019
A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation
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Stephan Antholzer
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Markus Haltmeier
272
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RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
Qiangguo Jin
Zhao-Peng Meng
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MedIm
370
428
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A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors
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Yufeng Cao
K. Vixie
Longji Xu
B. Hobbs
C. Ng
MedIm
159
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13 Sep 2018
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