A review of deep-learning-based medical image segmentation methods
As an emerging biomedical image processing technology, medical image segmentation has
made great contributions to sustainable medical care. Now it has become an important …
made great contributions to sustainable medical care. Now it has become an important …
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 …
Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Glaucoma is one of the leading causes of irreversible but preventable blindness in working
age populations. Color fundus photography (CFP) is the most cost-effective imaging …
age populations. Color fundus photography (CFP) is the most cost-effective imaging …
GANs for medical image analysis
Generative adversarial networks (GANs) and their extensions have carved open many
exciting ways to tackle well known and challenging medical image analysis problems such …
exciting ways to tackle well known and challenging medical image analysis problems such …
Generative adversarial networks in medical image segmentation: A review
S Xun, D Li, H Zhu, M Chen, J Wang, J Li… - Computers in biology …, 2022 - Elsevier
Abstract Purpose Since Generative Adversarial Network (GAN) was introduced into the field
of deep learning in 2014, it has received extensive attention from academia and industry …
of deep learning in 2014, it has received extensive attention from academia and industry …
Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey
N Asiri, M Hussain, F Al Adel, N Alzaidi - Artificial intelligence in medicine, 2019 - Elsevier
Diabetic retinopathy (DR) results in vision loss if not treated early. A computer-aided
diagnosis (CAD) system based on retinal fundus images is an efficient and effective method …
diagnosis (CAD) system based on retinal fundus images is an efficient and effective method …
A large-scale database and a CNN model for attention-based glaucoma detection
Glaucoma is one of the leading causes of irreversible vision loss. Many approaches have
recently been proposed for automatic glaucoma detection based on fundus images …
recently been proposed for automatic glaucoma detection based on fundus images …
Patch-based output space adversarial learning for joint optic disc and cup segmentation
Glaucoma is a leading cause of irreversible blindness. Accurate segmentation of the optic
disc (OD) and optic cup (OC) from fundus images is beneficial to glaucoma screening and …
disc (OD) and optic cup (OC) from fundus images is beneficial to glaucoma screening and …
Attention based glaucoma detection: A large-scale database and CNN model
Recently, the attention mechanism has been successfully applied in convolutional neural
networks (CNNs), significantly boosting the performance of many computer vision tasks …
networks (CNNs), significantly boosting the performance of many computer vision tasks …
Dofe: Domain-oriented feature embedding for generalizable fundus image segmentation on unseen datasets
Deep convolutional neural networks have significantly boosted the performance of fundus
image segmentation when test datasets have the same distribution as the training datasets …
image segmentation when test datasets have the same distribution as the training datasets …