Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends
Semantic-based segmentation (Semseg) methods play an essential part in medical imaging
analysis to improve the diagnostic process. In Semseg technique, every pixel of an image is …
analysis to improve the diagnostic process. In Semseg technique, every pixel of an image is …
[HTML][HTML] Analysis of various techniques for ECG signal in healthcare, past, present, and future
Cardiovascular diseases are the primary reason for mortality worldwide. As per WHO survey
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
[HTML][HTML] A systematic review of retinal fundus image segmentation and classification methods using convolutional neural networks
AE Ilesanmi, T Ilesanmi, GA Gbotoso - Healthcare Analytics, 2023 - Elsevier
Retinal fundus images play a crucial role in the early detection of eye problems, aiding in
timely diagnosis and treatment to prevent vision loss or blindness. With advancements in …
timely diagnosis and treatment to prevent vision loss or blindness. With advancements in …
[HTML][HTML] One-shot retinal artery and vein segmentation via cross-modality pretraining
Purpose To perform one-shot retinal artery and vein segmentation with cross-modality artery-
vein (AV) soft-label pretraining. Design Cross-sectional study. Subjects The study included …
vein (AV) soft-label pretraining. Design Cross-sectional study. Subjects The study included …
Retinal image blood vessel classification using hybrid deep learning in cataract diseased fundus images
With recent advanced technologies, various automated diagnosis tools were developed to
prevent retinal diseases. The automatic segmentation of blood vessels can help detect …
prevent retinal diseases. The automatic segmentation of blood vessels can help detect …
[HTML][HTML] Automatic vessel crossing and bifurcation detection based on multi-attention network vessel segmentation and directed graph search
G Wang, Y Huang, K Ma, Z Duan, Z Luo, P Xiao… - Computers in Biology …, 2023 - Elsevier
Abstract Analysis of the vascular tree is the basic premise to automatically diagnose retinal
biomarkers associated with ophthalmic and systemic diseases, among which accurate …
biomarkers associated with ophthalmic and systemic diseases, among which accurate …
RAVIR: A dataset and methodology for the semantic segmentation and quantitative analysis of retinal arteries and veins in infrared reflectance imaging
A Hatamizadeh, H Hosseini, N Patel… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The retinal vasculature provides important clues in the diagnosis and monitoring of systemic
diseases including hypertension and diabetes. The microvascular system is of primary …
diseases including hypertension and diabetes. The microvascular system is of primary …
[HTML][HTML] End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images
Abstract Background and objectives The Epiretinal Membrane (ERM) is an ocular disease
that can cause visual distortions and irreversible vision loss. Patient sight preservation relies …
that can cause visual distortions and irreversible vision loss. Patient sight preservation relies …
Deep multimodal fusion of data with heterogeneous dimensionality via projective networks
The use of multimodal imaging has led to significant improvements in the diagnosis and
treatment of many diseases. Similar to clinical practice, some works have demonstrated the …
treatment of many diseases. Similar to clinical practice, some works have demonstrated the …
Pterygium screening and lesion area segmentation based on deep learning
S Zhu, X Fang, Y Qian, K He, M Wu… - Journal of …, 2022 - Wiley Online Library
A two‐category model and a segmentation model of pterygium were proposed to assist
ophthalmologists in establishing the diagnosis of ophthalmic diseases. A total of 367 normal …
ophthalmologists in establishing the diagnosis of ophthalmic diseases. A total of 367 normal …