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Medical Image Segmentation Using Deep Learning: A Survey

Medical Image Segmentation Using Deep Learning: A Survey

28 September 2020
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
A. Nandi
    SSeg
    OOD
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Papers citing "Medical Image Segmentation Using Deep Learning: A Survey"

26 / 26 papers shown
Title
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
Behzad Hejrati
Soumyanil Banerjee
C. Glide-Hurst
Ming Dong
DiffM
MedIm
109
0
0
21 Feb 2025
A Comprehensive Survey of Foundation Models in Medicine
A Comprehensive Survey of Foundation Models in Medicine
Wasif Khan
Seowung Leem
Kyle B. See
Joshua K. Wong
Shaoting Zhang
R. Fang
AI4CE
LM&MA
VLM
95
17
0
17 Jan 2025
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments
Mingjian Li
Mingyuan Meng
Shuchang Ye
David Dagan Feng
Lei Bi
Jinman Kim
82
0
0
18 Dec 2024
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation
Lin Zhang
Wenbo Gao
Jie Yi
Yunyun Yang
38
0
0
14 Jul 2024
BiomedParse: a biomedical foundation model for image parsing of
  everything everywhere all at once
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
Theodore Zhao
Yu Gu
Jianwei Yang
Naoto Usuyama
Ho Hin Lee
...
B. Piening
Carlo Bifulco
Mu-Hsin Wei
Hoifung Poon
Sheng Wang
MedIm
28
22
0
21 May 2024
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
Anthony Bilic
Chen Chen
OOD
34
0
0
21 Apr 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej Mazurowski
MedIm
VLM
75
11
0
15 Apr 2024
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Amin Karimi Monsefi
Payam Karisani
Mengxi Zhou
Stacey S. Choi
Nathan Doble
Heng Ji
Srinivasan Parthasarathy
R. Ramnath
41
5
0
09 Feb 2024
Neural Network Methods for Radiation Detectors and Imaging
Neural Network Methods for Radiation Detectors and Imaging
S. Lin
S. Ning
H. Zhu
T. Zhou
C. L. Morris
S. Clayton
M. Cherukara
R. T. Chen
Z. Wang
AI4CE
24
5
0
09 Nov 2023
Multi-Level Global Context Cross Consistency Model for Semi-Supervised
  Ultrasound Image Segmentation with Diffusion Model
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model
Fenghe Tang
Jianrui Ding
Lingtao Wang
Min Xian
C. Ning
DiffM
MedIm
18
11
0
16 May 2023
Source-Free Unsupervised Domain Adaptation with Norm and Shape
  Constraints for Medical Image Segmentation
Source-Free Unsupervised Domain Adaptation with Norm and Shape Constraints for Medical Image Segmentation
Satoshi Kondo
OOD
11
4
0
03 Sep 2022
Histopathology DatasetGAN: Synthesizing Large-Resolution Histopathology
  Datasets
Histopathology DatasetGAN: Synthesizing Large-Resolution Histopathology Datasets
S. Rizvi
P. Cicalese
S. Seshan
S. Sciascia
J. U.Becker
H. V. Nguyen
MedIm
11
2
0
06 Jul 2022
Vector Quantisation for Robust Segmentation
Vector Quantisation for Robust Segmentation
Ainkaran Santhirasekaram
Avinash Kori
Mathias Winkler
A. Rockall
Ben Glocker
OOD
14
9
0
05 Jul 2022
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image
  Segmentation
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation
Zhangfu Dong
Yuting He
Xiaoming Qi
Yang Chen
H. Shu
J. Coatrieux
Guanyu Yang
Shuo Li
11
43
0
10 May 2022
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical
  Segmentation on Less Labeled Data
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data
Minh-Khoi Tran
Loi Ly
Binh-Son Hua
Ngan Le
3DPC
MedIm
18
16
0
15 Jan 2022
iSegFormer: Interactive Segmentation via Transformers with Application
  to 3D Knee MR Images
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images
Qin Liu
Zhenlin Xu
Yining Jiao
Marc Niethammer
ViT
MedIm
34
35
0
21 Dec 2021
BT-Unet: A self-supervised learning framework for biomedical image
  segmentation using Barlow Twins with U-Net models
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models
Narinder Singh Punn
Sonali Agarwal
SSL
25
34
0
07 Dec 2021
Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial
  Imagery
Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial Imagery
Hasan Nasrallah
Mustafa Shukor
A. Ghandour
SSeg
19
4
0
12 Nov 2021
Effect of the output activation function on the probabilities and errors
  in medical image segmentation
Effect of the output activation function on the probabilities and errors in medical image segmentation
Lars Nieradzik
G. Scheuermann
D. Saur
Christina Gillmann
SSeg
MedIm
UQCV
16
6
0
02 Sep 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
11
144
0
09 Jul 2021
A survey on shape-constraint deep learning for medical image
  segmentation
A survey on shape-constraint deep learning for medical image segmentation
Simon Bohlender
Ilkay Oksuz
Anirban Mukhopadhyay
3DV
14
31
0
19 Jan 2021
High-level Prior-based Loss Functions for Medical Image Segmentation: A
  Survey
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey
Rosana El Jurdia
Caroline Petitjean
P. Honeine
V. Cheplygina
F. Abdallah
SSeg
MedIm
19
77
0
16 Nov 2020
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
C. L. P. Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
53
664
0
09 Nov 2019
Parsing R-CNN for Instance-Level Human Analysis
Parsing R-CNN for Instance-Level Human Analysis
Lu Yang
Q. Song
Zhihui Wang
Ming Jiang
SSeg
52
120
0
30 Nov 2018
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative
  Adversarial Networks for Robust Lung Segmentation
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
D. Jin
Ziyue Xu
Youbao Tang
Adam P. Harrison
D. Mollura
MedIm
39
185
0
11 Jun 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,544
0
19 Feb 2017
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