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Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully
  Convolutional Networks

Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks

10 May 2017
Hao Dong
Guang Yang
Fangde Liu
Yuanhan Mo
Yike Guo
ArXivPDFHTML

Papers citing "Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks"

32 / 32 papers shown
Title
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
Ngoc-Du Tran
Thi-Thao Tran
Quang-Huy Nguyen
Manh-Hung Vu
Van-Truong Pham
MedIm
ViT
41
1
0
04 Apr 2024
Medical Image Analysis using Deep Relational Learning
Medical Image Analysis using Deep Relational Learning
Zhi-Hu Liu
MedIm
17
0
0
28 Mar 2023
Brain Tumor Segmentation using Enhanced U-Net Model with Empirical
  Analysis
Brain Tumor Segmentation using Enhanced U-Net Model with Empirical Analysis
Md Abdullah Al Nasim
Abdullah Al Munem
Maksuda Islam
Md Aminul Haque Palash
Md. Mahim Anjum Haque
F. Shah
29
30
0
24 Oct 2022
Data Augmentation using Feature Generation for Volumetric Medical Images
Data Augmentation using Feature Generation for Volumetric Medical Images
K. Mehra
Hassan H. Soliman
S. R. Sahoo
OOD
MedIm
28
0
0
28 Sep 2022
Region-Based Evidential Deep Learning to Quantify Uncertainty and
  Improve Robustness of Brain Tumor Segmentation
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation
Hao Li
Yang Nan
Javier Del Ser
Guang Yang
EDL
OOD
UQCV
14
39
0
11 Aug 2022
Distributed Contrastive Learning for Medical Image Segmentation
Distributed Contrastive Learning for Medical Image Segmentation
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yiyu Shi
Jingtong Hu
FedML
52
48
0
07 Aug 2022
Soft-CP: A Credible and Effective Data Augmentation for Semantic
  Segmentation of Medical Lesions
Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions
Pingping Dai
Licong Dong
Ruihan Zhang
Haiming Zhu
Jie Wu
Kehong Yuan
MedIm
27
4
0
20 Mar 2022
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in
  Electron Tomography of Catalytic Materials
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials
A. Genç
L. Kovarik
H. Fraser
37
15
0
18 Jan 2022
CAN3D: Fast 3D Medical Image Segmentation via Compact Context
  Aggregation
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation
Wei Dai
B. Woo
Siyu Liu
Matthew Marques
Craig B. Engstrom
P. Greer
Stuart Crozier
Jason Dowling
Shekhar S. Chandra
33
14
0
12 Sep 2021
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation
D. Cahall
Ghulam Rasool
N. Bouaynaya
Hassan M. Fathallah-Shaykh
32
6
0
15 Aug 2021
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework
Xi Guan
Guang Yang
Jianming Ye
Weiji Yang
Xiaomei Xu
Weiwei Jiang
Xiaobo Lai
15
113
0
26 Jul 2021
Modality specific U-Net variants for biomedical image segmentation: A
  survey
Modality specific U-Net variants for biomedical image segmentation: A survey
Narinder Singh Punn
Sonali Agarwal
SSeg
32
144
0
09 Jul 2021
Cross-Modality Brain Tumor Segmentation via Bidirectional
  Global-to-Local Unsupervised Domain Adaptation
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation
Kelei He
Wen Ji
Tao Zhou
Zhuoyuan Li
Jing Huo
Xin Zhang
Yang Gao
Dinggang Shen
Bing-Bin Zhang
Junfeng Zhang
OOD
17
7
0
17 May 2021
Instance segmentation of fallen trees in aerial color infrared imagery
  using active multi-contour evolution with fully convolutional network-based
  intensity priors
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors
P. Polewski
Jacquelyn A. Shelton
W. Yao
M. Heurich
22
26
0
05 May 2021
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance
  Imaging -- Mini Review, Comparison and Perspectives
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives
Guang Yang
Jun Lv
Yutong Chen
Jiahao Huang
Jin Zhu
MedIm
26
9
0
04 May 2021
A Multi-task Contextual Atrous Residual Network for Brain Tumor
  Detection & Segmentation
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation
Ngan Le
Kashu Yamazaki
Dat T. Truong
Kha Gia Quach
Marios Savvides
MedIm
28
18
0
03 Dec 2020
w-Net: Dual Supervised Medical Image Segmentation Model with
  Multi-Dimensional Attention and Cascade Multi-Scale Convolution
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution
Bo Wang
Lei Wang
Junyang Chen
Zhenghua Xu
Thomas Lukasiewicz
Zhigang Fu
35
7
0
15 Nov 2020
Deeply-Supervised Density Regression for Automatic Cell Counting in
  Microscopy Images
Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images
Shenghua He
K. T. Minn
L. Solnica-Krezel
M. Anastasio
Hua Li
24
59
0
07 Nov 2020
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
25
1,044
0
02 Nov 2020
Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D
  U-Net
Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net
Chuanbo Wang
Ye Guo
Wei Chen
Zeyun Yu
17
21
0
28 Sep 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
33
544
0
28 Sep 2020
TIDE: A General Toolbox for Identifying Object Detection Errors
TIDE: A General Toolbox for Identifying Object Detection Errors
Daniel Bolya
Sean Foley
James Hays
Judy Hoffman
49
190
0
18 Aug 2020
Unsupervised Lesion Detection via Image Restoration with a Normative
  Prior
Unsupervised Lesion Detection via Image Restoration with a Normative Prior
Xiaoran Chen
Suhang You
K. Tezcan
E. Konukoglu
MedIm
22
135
0
30 Apr 2020
Res3ATN -- Deep 3D Residual Attention Network for Hand Gesture
  Recognition in Videos
Res3ATN -- Deep 3D Residual Attention Network for Hand Gesture Recognition in Videos
Naina Dhingra
A. Kunz
3DPC
SLR
30
35
0
04 Jan 2020
FastSurfer -- A fast and accurate deep learning based neuroimaging
  pipeline
FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline
Leonie Henschel
Sailesh Conjeti
Santiago Estrada
K. Diers
Bruce Fischl
M. Reuter
MedIm
28
387
0
09 Oct 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
33
751
0
27 Aug 2019
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor
  Segmentation
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation
Hongying Liu
Xiongjie Shen
Fanhua Shang
Fei Wang
28
43
0
17 Jul 2019
Time Series Anomaly Detection Using Convolutional Neural Networks and
  Transfer Learning
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Tailai Wen
Roy Keyes
AI4TS
39
125
0
31 May 2019
How Can We Make GAN Perform Better in Single Medical Image
  Super-Resolution? A Lesion Focused Multi-Scale Approach
How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach
Jin Zhu
Guang Yang
Pietro Lio
GAN
MedIm
33
70
0
10 Jan 2019
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation
Ryan Sherman
27
4
0
27 Oct 2018
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in
  Multiple Image Modalities
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities
Jose Dolz
Ismail Ben Ayed
Christian Desrosiers
15
100
0
16 Oct 2018
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI
Zhiwen Fan
Liyan Sun
Xinghao Ding
Yue Huang
C. Cai
John Paisley
MedIm
30
27
0
04 Apr 2018
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