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Medical Image Analysis using Convolutional Neural Networks: A Review

Medical Image Analysis using Convolutional Neural Networks: A Review

4 September 2017
Syed Muhammad Anwar
Muhammad Majid
A. Qayyum
Muhammad Awais
M. Alnowami
Muhammad Khurram Khan
    MedIm
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Papers citing "Medical Image Analysis using Convolutional Neural Networks: A Review"

42 / 42 papers shown
Title
Pulmonary Tuberculosis Edge Diagnosis System Based on MindSpore Framework: Low-cost and High-precision Implementation with Ascend 310 Chip
Pulmonary Tuberculosis Edge Diagnosis System Based on MindSpore Framework: Low-cost and High-precision Implementation with Ascend 310 Chip
HaoYu Li
65
0
0
24 Feb 2025
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion
Dong Zhang
Kwang-Ting Cheng
MedIm
22
0
0
03 Jan 2025
A Comprehensive Survey of Convolutions in Deep Learning: Applications,
  Challenges, and Future Trends
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi
Mohsen Ansari
Mohammadamin Fazli
A. Ejlali
Muhammad Shafique
Joerg Henkel
3DV
52
44
0
23 Feb 2024
Pseudo Label-Guided Data Fusion and Output Consistency for
  Semi-Supervised Medical Image Segmentation
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation
Tao Wang
Yuanbin Chen
Xinlin Zhang
Yuanbo Zhou
Junlin Lan
Bizhe Bai
Tao Tan
Min Du
Qinquan Gao
Tong Tong
24
0
0
17 Nov 2023
Improving Generalization Capability of Deep Learning-Based Nuclei
  Instance Segmentation by Non-deterministic Train Time and Deterministic Test
  Time Stain Normalization
Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization
A. Mahbod
Georg Dorffner
Isabella Ellinger
Ramona Woitek
Sepideh Hatamikia
51
5
0
12 Sep 2023
FineEHR: Refine Clinical Note Representations to Improve Mortality
  Prediction
FineEHR: Refine Clinical Note Representations to Improve Mortality Prediction
Jun Wu
Xuesong Ye
Chengjie Mou
Weina Dai
64
18
0
24 Apr 2023
Segment Anything Model for Medical Image Analysis: an Experimental Study
Segment Anything Model for Medical Image Analysis: an Experimental Study
Maciej Mazurowski
Haoyu Dong
Han Gu
Jichen Yang
N. Konz
Yixin Zhang
MedIm
VLM
48
467
0
20 Apr 2023
Complex Mixer for MedMNIST Classification Decathlon
Complex Mixer for MedMNIST Classification Decathlon
Zhuoran Zheng
Xiuyi Jia
32
7
0
20 Apr 2023
Siamese Neural Networks for Skin Cancer Classification and New Class
  Detection using Clinical and Dermoscopic Image Datasets
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets
Michael Luke Battle
Amir Atapour-Abarghouei
A. Mcgough
33
2
0
12 Dec 2022
SB-SSL: Slice-Based Self-Supervised Transformers for Knee Abnormality
  Classification from MRI
SB-SSL: Slice-Based Self-Supervised Transformers for Knee Abnormality Classification from MRI
Sara Atito
Syed Muhammad Anwar
Muhammad Awais
Josef Kitler
ViT
MedIm
29
12
0
29 Aug 2022
Patch Selection for Melanoma Classification
Patch Selection for Melanoma Classification
Guillaume Lachaud
Patricia Conde Céspedes
M. Trocan
16
0
0
27 Jun 2022
SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer
SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer
Junde Wu
Huihui Fang
Fangxin Shang
Dalu Yang
Zhao-Yang Wang
Jing Gao
Yehui Yang
Yanwu Xu
MedIm
ViT
32
19
0
12 Jun 2022
Visualizing CoAtNet Predictions for Aiding Melanoma Detection
Visualizing CoAtNet Predictions for Aiding Melanoma Detection
Daniel Kvak
MedIm
30
2
0
21 May 2022
Deep Learning and Computer Vision Techniques for Microcirculation
  Analysis: A Review
Deep Learning and Computer Vision Techniques for Microcirculation Analysis: A Review
Maged Abdalla Helmy Abdou
T. Truong
E. Jul
Paulo Ferreira
26
8
0
11 May 2022
Efficient Test-Time Model Adaptation without Forgetting
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
S. Zheng
P. Zhao
Mingkui Tan
OOD
VLM
TTA
39
317
0
06 Apr 2022
Modern Views of Machine Learning for Precision Psychiatry
Modern Views of Machine Learning for Precision Psychiatry
Z. Chen
Prathamesh Kulkarni
Kulkarni
I. Galatzer-Levy
Benedetta Bigio
C. Nasca
Yu Zhang
57
90
0
04 Apr 2022
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task
  Deep Network for Medical Image Semantic Segmentation
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation
Binod Bhattarai
Ronast Subedi
Rebati Gaire
E. Vazquez
Danail Stoyanov
OOD
16
43
0
02 Apr 2022
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and
  their usability for Detecting Omicron
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan
Dr. Saddam Hussain Khan
Mahrukh Saif
Asiya Batool
A. Sohail
Muhammad Waleed Khan
43
48
0
13 Feb 2022
Early Disease Stage Characterization in Parkinson's Disease from
  Resting-state fMRI Data Using a Long Short-term Memory Network
Early Disease Stage Characterization in Parkinson's Disease from Resting-state fMRI Data Using a Long Short-term Memory Network
Xueqi Guo
S. Tinaz
Nicha Dvornek
6
13
0
11 Feb 2022
An Overview of Healthcare Data Analytics With Applications to the
  COVID-19 Pandemic
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic
Z. Fei
Y. Ryeznik
O. Sverdlov
C. Tan
Weng Kee Wong
27
20
0
25 Nov 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep
  Neural Network Systems
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems
Bao Gia Doan
Minhui Xue
Shiqing Ma
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
41
53
0
19 Nov 2021
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease
  Classification and Localization in Chest X-rays using Patient Metadata
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata
Ajay Jaiswal
Tianhao Li
Cyprian Zander
Yan Han
Justin F. Rousseau
Yifan Peng
Ying Ding
36
14
0
27 Oct 2021
Generalized Multi-Task Learning from Substantially Unlabeled
  Multi-Source Medical Image Data
Generalized Multi-Task Learning from Substantially Unlabeled Multi-Source Medical Image Data
Ayaan Haque
A. Imran
Adam S. Wang
D. Terzopoulos
15
9
0
25 Oct 2021
3N-GAN: Semi-Supervised Classification of X-Ray Images with a 3-Player
  Adversarial Framework
3N-GAN: Semi-Supervised Classification of X-Ray Images with a 3-Player Adversarial Framework
Shafinul Haque
Ayaan Haque
GAN
MedIm
21
1
0
22 Sep 2021
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
37
177
0
17 Sep 2021
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
U. Demir
Atahan Ozer
Y. Sahin
Gözde B. Ünal
22
3
0
06 Aug 2021
A Machine Learning Model for Early Detection of Diabetic Foot using
  Thermogram Images
A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images
Amith Khandakar
M. Chowdhury
M. Reaz
S. Ali
Md. Anwarul Hasan
S. Kiranyaz
Tawsifur Rahman
R. Alfkey
A. Bakar
R. Malik
29
96
0
27 Jun 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
18
574
0
27 May 2021
Deep Convolutional Neural Network based Classification of Alzheimer's
  Disease using MRI data
Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data
Ali Nawaz
Syed Muhammad Anwar
Rehan Liaqat
J. Iqbal
Ulas Bagci
Muhammad Majid
28
40
0
08 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
35
2
0
04 Jan 2021
On the application of Physically-Guided Neural Networks with Internal
  Variables to Continuum Problems
On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems
J. Ayensa-Jiménez
M. H. Doweidar
J. A. Sanz-Herrera
Manuel Doblaré
24
1
0
23 Nov 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
36
79
0
17 Sep 2020
Brain Tumor Survival Prediction using Radiomics Features
Brain Tumor Survival Prediction using Radiomics Features
Sobia Yousaf
Syed Muhammad Anwar
Harish RaviPrakash
Ulas Bagci
28
7
0
07 Sep 2020
A Review on Deep Learning Techniques for the Diagnosis of Novel
  Coronavirus (COVID-19)
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Md. Milon Islam
Fakhri Karray
R. Alhajj
Jia Zeng
27
216
0
09 Aug 2020
Stacked Convolutional Neural Network for Diagnosis of COVID-19 Disease
  from X-ray Images
Stacked Convolutional Neural Network for Diagnosis of COVID-19 Disease from X-ray Images
Mahesh Gour
Sweta Jain
8
37
0
22 Jun 2020
Synthetic Observational Health Data with GANs: from slow adoption to a
  boom in medical research and ultimately digital twins?
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDa
AI4CE
36
17
0
27 May 2020
Classification of Arrhythmia by Using Deep Learning with 2-D ECG
  Spectral Image Representation
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation
Amin Ullah
Syed Muhammad Anwar
Muhammad Bilal
Raja Majid Mehmood
18
166
0
14 May 2020
MIScnn: A Framework for Medical Image Segmentation with Convolutional
  Neural Networks and Deep Learning
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Dominik Muller
Frank Kramer
22
117
0
21 Oct 2019
DeepMRSeg: A convolutional deep neural network for anatomy and
  abnormality segmentation on MR images
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images
J. Doshi
G. Erus
Mohamad Habes
Christos Davatzikos
MedIm
30
27
0
03 Jul 2019
Deep Learning in Cardiology
Deep Learning in Cardiology
Paschalis A. Bizopoulos
D. Koutsouris
MedIm
27
135
0
22 Feb 2019
Learning to diagnose from scratch by exploiting dependencies among
  labels
Learning to diagnose from scratch by exploiting dependencies among labels
L. Yao
Eric Poblenz
Dmitry Dagunts
Ben Covington
D. Bernard
Kevin Lyman
30
332
0
28 Oct 2017
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for
  Automated Detection of Lacunes of Presumed Vascular Origin
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
M. Bergkamp
Joost Wissink
...
K. Keizer
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
MedIm
212
123
0
24 Oct 2016
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