CA‐Unet++: An improved structure for medical CT scanning based on the Unet++ Architecture
B Li, F Wu, S Liu, J Tang, GH Li… - … Journal of Intelligent …, 2022 - Wiley Online Library
Currently, deep learning has become more and more mature in the field of medical image
segmentation. Through using the computer, the deep learning models established can …
segmentation. Through using the computer, the deep learning models established can …
Denoising of Optical Coherence Tomography Images in Ophthalmology Using Deep Learning: A Systematic Review
Imaging from optical coherence tomography (OCT) is widely used for detecting retinal
diseases, localization of intra-retinal boundaries, etc. It is, however, degraded by speckle …
diseases, localization of intra-retinal boundaries, etc. It is, however, degraded by speckle …
Automatic segmentation of hyperreflective foci in OCT images based on lightweight DBR network
J Wei, S Yu, Y Du, K Liu, Y Xu, X Xu - Journal of Digital Imaging, 2023 - Springer
Hyperreflective foci (HF) reflects inflammatory responses for fundus diseases such as
diabetic macular edema (DME), retina vein occlusion (RVO), and central serous …
diabetic macular edema (DME), retina vein occlusion (RVO), and central serous …
Biometric technologies based on optical coherence tomography
T Marciniak - Sensors, 2023 - mdpi.com
Optical coherence tomography (OCT) is one of the newest and most important optical non-
invasive methods for the investigation and testing of various materials (eg, tissues) that are …
invasive methods for the investigation and testing of various materials (eg, tissues) that are …
Transformer enhanced autoencoder rendering cleaning of noisy optical coherence tomography images
Purpose Optical coherence tomography (OCT) is an emerging imaging tool in healthcare
with common applications in ophthalmology for detection of retinal diseases, as well as …
with common applications in ophthalmology for detection of retinal diseases, as well as …
Unsupervised region-based denoising for optical coherence tomography framework
Optical Coherence Tomography (OCT) is an emerging imaging tool that is now widely
adopted in various medical settings such as cardiology and ophthalmology and is emerging …
adopted in various medical settings such as cardiology and ophthalmology and is emerging …
Attention Based Speckle Reduction for Optical Coherence Tomography in Ophthalmology and Dentistry
An emerging imaging tool in medical imaging is Optical Coherence Tomography (OCT) that
is widely implemented in multiple fields such as ophthalmology for detection of retinal …
is widely implemented in multiple fields such as ophthalmology for detection of retinal …
Automated Classification of VMT Pathology from Optical Coherence Tomography B-scans
T Marciniak, A Stankiewicz - 2022 Signal Processing …, 2022 - ieeexplore.ieee.org
The research presented in this article aims to determine the possibility of identifying macular
pathologies from optical coherence tomography (OCT) images. Early detection of a …
pathologies from optical coherence tomography (OCT) images. Early detection of a …
Increase Channel Attention Based on Unet++ Architecture for Medical Images
F Wu, S Liu, B Li, J Tang - … Conference on Machine Learning for Cyber …, 2022 - Springer
At present, image segmentation technology has become increasingly mature. The
application of image segmentation technology in the field of medical images is also more …
application of image segmentation technology in the field of medical images is also more …
An Improved Semantic Segmentation Method for Retinal OCT Images Based on High-Resolution Network and Polarized Self-Attention Mechanism
W Fan, F Wang, R Zheng, X Wang - Proceedings of the 2024 4th …, 2024 - dl.acm.org
Optical Coherence Tomography (OCT) is an efficient, non-invasive imaging technique. It
operates by scanning ocular tissues with a laser beam and reconstructing cross-sectional …
operates by scanning ocular tissues with a laser beam and reconstructing cross-sectional …