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Glioma Segmentation with Cascaded Unet

Glioma Segmentation with Cascaded Unet

9 October 2018
Dmitrii Lachinov
Evgeny Vasiliev
Vadim Turlapov
ArXiv (abs)PDFHTML

Papers citing "Glioma Segmentation with Cascaded Unet"

14 / 14 papers shown
Train-Free Segmentation in MRI with Cubical Persistent Homology
Train-Free Segmentation in MRI with Cubical Persistent Homology
Anton François
Raphael Tinarrage
3DV
323
3
0
02 Jan 2024
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for
  MRI-based Brain Tumor Detection
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor DetectionIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Wenxin Wang
Zhuoxu Cui
Guanxu Cheng
Chentao Cao
Xi Xu
Ziwei Liu
Haifeng Wang
Yulong Qi
Dong Liang
Yanjie Zhu
MedIm
127
13
0
06 Nov 2023
Towards more precise automatic analysis: a comprehensive survey of deep
  learning-based multi-organ segmentation
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation
Xiaoyu Liu
Linhao Qu
Ziyue Xie
Jiayue Zhao
Yonghong Shi
Zhijian Song
277
9
0
01 Mar 2023
Medical Image Segmentation Review: The success of U-Net
Medical Image Segmentation Review: The success of U-NetIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Reza Azad
Ehsan Khodapanah Aghdam
Amelie Rauland
Yiwei Jia
Atlas Haddadi Avval
Afshin Bozorgpour
Sanaz Karimijafarbigloo
Joseph Paul Cohen
Ehsan Adeli
Dorit Merhof
SSeg
276
622
0
27 Nov 2022
ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation
ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation
Wenbo Zhang
Guang Yang
He Huang
Weiji Yang
Xiaomei Xu
Yongkai Liu
Xiaobo Lai
145
114
0
21 Mar 2022
Experimenting with Knowledge Distillation techniques for performing
  Brain Tumor Segmentation
Experimenting with Knowledge Distillation techniques for performing Brain Tumor Segmentation
Ashwin Nalwade
Jackie Kisa
97
2
0
24 May 2021
Leveraging 3D Information in Unsupervised Brain MRI Segmentation
Leveraging 3D Information in Unsupervised Brain MRI SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2021
Benjamin Lambert
M. Louis
Senan Doyle
F. Forbes
M. Dojat
A. Tucholka
107
7
0
26 Jan 2021
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and
  Overall Patient Survival Prediction
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival PredictionArchives of Computational Methods in Engineering (ACME), 2021
R. Agravat
M. Raval
192
24
0
26 Jan 2021
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial
  Learning
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial LearningInternational Conference on Image Analysis and Recognition (ICIAR), 2019
Qiqi Xiao
Jiaxu Zou
Muqiao Yang
Alex Gaudio
Kris Kitani
A. Smailagic
P. Costa
Min Xu
GANMedIm
146
34
0
27 Jul 2020
Deep Learning Based Brain Tumor Segmentation: A Survey
Deep Learning Based Brain Tumor Segmentation: A SurveyComplex & Intelligent Systems (CIS), 2020
Zhihua Liu
Lei Tong
Zheheng Jiang
Long Chen
Feixiang Zhou
Qianni Zhang
Xiangrong Zhang
Ling Li
Huiyu Zhou
3DV
279
288
0
18 Jul 2020
Knowledge Distillation for Brain Tumor Segmentation
Knowledge Distillation for Brain Tumor Segmentation
Dmitrii Lachinov
E. Shipunova
Vadim Turlapov
88
19
0
10 Feb 2020
Towards personalized diagnosis of Glioblastoma in Fluid-attenuated
  inversion recovery (FLAIR) by topological interpretable machine learning
Towards personalized diagnosis of Glioblastoma in Fluid-attenuated inversion recovery (FLAIR) by topological interpretable machine learning
M. Rucco
L. Falsetti
G. Viticchi
120
22
0
17 Dec 2019
Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival
  Prediction
Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction
Mehdi Amian
Mohammadreza Soltaninejad
102
34
0
19 Nov 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
...
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern Menze
439
1,852
0
05 Nov 2018
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