Generative adversarial network in medical imaging: A review
Generative adversarial networks have gained a lot of attention in the computer vision
community due to their capability of data generation without explicitly modelling the …
community due to their capability of data generation without explicitly modelling the …
Deep learning in cardiology
P Bizopoulos, D Koutsouris - IEEE reviews in biomedical …, 2018 - ieeexplore.ieee.org
The medical field is creating large amount of data that physicians are unable to decipher
and use efficiently. Moreover, rule-based expert systems are inefficient in solving …
and use efficiently. Moreover, rule-based expert systems are inefficient in solving …
Modality specific U-Net variants for biomedical image segmentation: a survey
With the advent of advancements in deep learning approaches, such as deep convolution
neural network, residual neural network, adversarial network; U-Net architectures are most …
neural network, residual neural network, adversarial network; U-Net architectures are most …
Ultrasound image segmentation: a deeply supervised network with attention to boundaries
D Mishra, S Chaudhury, M Sarkar… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Objective: Segmentation of anatomical structures in ultrasound images requires vast
radiological knowledge and experience. Moreover, the manual segmentation often results in …
radiological knowledge and experience. Moreover, the manual segmentation often results in …
A review of deep learning segmentation methods for carotid artery ultrasound images
Q Huang, H Tian, L Jia, Z Li, Z Zhou - Neurocomputing, 2023 - Elsevier
The carotid artery is a critical blood vessel that supplies blood to the brain, and its health and
function are essential for preventing cardiovascular diseases such as stroke. Ultrasound …
function are essential for preventing cardiovascular diseases such as stroke. Ultrasound …
Robust segmentation of arterial walls in intravascular ultrasound images using Dual Path U-Net
Abstract A Fully Convolutional Network (FCN) based deep architecture called Dual Path U-
Net (DPU-Net) is proposed for automatic segmentation of the lumen and media-adventitia in …
Net (DPU-Net) is proposed for automatic segmentation of the lumen and media-adventitia in …
Learning topological interactions for multi-class medical image segmentation
Deep learning methods have achieved impressive performance for multi-class medical
image segmentation. However, they are limited in their ability to encode topological …
image segmentation. However, they are limited in their ability to encode topological …
SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing
L Bargsten, A Schlaefer - … journal of computer assisted radiology and …, 2020 - Springer
Purpose In the field of medical image analysis, deep learning methods gained huge
attention over the last years. This can be explained by their often improved performance …
attention over the last years. This can be explained by their often improved performance …
A systematic collection of medical image datasets for deep learning
The astounding success made by artificial intelligence in healthcare and other fields proves
that it can achieve human-like performance. However, success always comes with …
that it can achieve human-like performance. However, success always comes with …
IVUS-Net: an intravascular ultrasound segmentation network
Abstract I ntra V ascular U ltra S ound (IVUS) is one of the most effective imaging modalities
that provides assistance to experts in order to diagnose and treat cardiovascular diseases …
that provides assistance to experts in order to diagnose and treat cardiovascular diseases …