Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey
Retinal optical coherence tomography (OCT) images provide fundamental information
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
AS-Net: Attention Synergy Network for skin lesion segmentation
Accurate skin lesion segmentation in dermoscopic images is crucial to the early diagnosis of
skin cancers. However, it remains a challenging task due to fuzzy lesion boundaries …
skin cancers. However, it remains a challenging task due to fuzzy lesion boundaries …
Automatic segmentation of retinal layers in multiple neurodegenerative disorder scenarios
M Gende, V Mallen, J de Moura… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Retinal Optical Coherence Tomography (OCT) allows the non-invasive direct observation of
the central nervous system, enabling the measurement and extraction of biomarkers from …
the central nervous system, enabling the measurement and extraction of biomarkers from …
Deep supervised learning using self-adaptive auxiliary loss for COVID-19 diagnosis from imbalanced CT images
The outbreak and rapid spread of coronavirus disease 2019 (COVID-19) has had a huge
impact on the lives and safety of people around the world. Chest CT is considered an …
impact on the lives and safety of people around the world. Chest CT is considered an …
Boundary aware U-Net for retinal layers segmentation in optical coherence tomography images
B Wang, W Wei, S Qiu, S Wang, D Li… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Retinal layers segmentation in optical coherence tomography (OCT) images is a critical step
in the diagnosis of numerous ocular diseases. Automatic layers segmentation requires …
in the diagnosis of numerous ocular diseases. Automatic layers segmentation requires …
Joint-seg: Treat foveal avascular zone and retinal vessel segmentation in octa images as a joint task
Optical coherence tomography angiography (OCTA) has been widely used in
ophthalmology in recent years due to its noninvasive and high resolution. In OCTA images …
ophthalmology in recent years due to its noninvasive and high resolution. In OCTA images …
Automatic segmentation of intracerebral hemorrhage in CT images using encoder–decoder convolutional neural network
Intracerebral hemorrhage (ICH) is the most serious type of stroke, which results in a high
disability or mortality rate. Therefore, accurate and rapid ICH region segmentation is of great …
disability or mortality rate. Therefore, accurate and rapid ICH region segmentation is of great …
Retinal optical coherence tomography image classification with label smoothing generative adversarial network
In this paper, we propose a label smoothing generative adversarial network (LSGAN) for
optical coherence tomography (OCT) image classification to identify drusen, ie, the early …
optical coherence tomography (OCT) image classification to identify drusen, ie, the early …
A comprehensive review of artificial intelligence models for screening major retinal diseases
This paper provides a systematic survey of artificial intelligence (AI) models that have been
proposed over the past decade to screen retinal diseases, which can cause severe visual …
proposed over the past decade to screen retinal diseases, which can cause severe visual …
OCT retinal and choroidal layer instance segmentation using mask R-CNN
Optical coherence tomography (OCT) of the posterior segment of the eye provides high-
resolution cross-sectional images that allow visualization of individual layers of the posterior …
resolution cross-sectional images that allow visualization of individual layers of the posterior …