Methods for real-time feature-guided image fusion of intrasurgical volumetric optical coherence tomography with digital microscopy

RM Trout, C Viehland, JD Li, W Raynor… - Biomedical optics …, 2023 - opg.optica.org
4D-microscope-integrated optical coherence tomography (4D-MIOCT) is an emergent
multimodal imaging technology in which live volumetric OCT (4D-OCT) is implemented in …

Cost-effective broad learning-based ultrasound biomicroscopy with 3D reconstruction for ocular anterior segmentation

SG Ali, Y Chen, B Sheng, H Li, Q Wu, P Yang… - Multimedia Tools and …, 2021 - Springer
Abstract Anterior Chamber Angle (ACA) assessment plays an important role for the
diagnosis of glaucoma. Most of the existing techniques relied on Anterior Segment Optical …

Detection of choroidal neovascularization (CNV) in retina OCT images using VGG16 and DenseNet CNN

MS Abirami, B Vennila, K Suganthi, S Kawatra… - Wireless Personal …, 2022 - Springer
In this study, we intend to diagnose Choroidal Neovascularization in retinal Optical
Coherence Tomography (OCT) images using Deep Learning Architectures. OCT images …

Macular hole detection using a new hybrid method: using multilevel thresholding and derivation on optical coherence tomographic images

S Shahalinejad, R Seifi Majdar - Computational Intelligence …, 2021 - Wiley Online Library
Optical coherence tomography (OCT) is a noninvasive imaging test. OCT imaging is
analogous to ultrasound imaging, except that it uses light instead of sound. In this type of …

Self-supervised contrastive learning improves machine learning discrimination of full thickness macular holes from epiretinal membranes in retinal OCT scans

TW Wheeler, K Hunter, PA Garcia, H Li… - PLOS Digital …, 2024 - journals.plos.org
There is a growing interest in using computer-assisted models for the detection of macular
conditions using optical coherence tomography (OCT) data. As the quantity of clinical scan …

Local occluded face recognition based on HOG-LBP and sparse representation

Z Jianxin, W Junyong - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Face recognition system in real environment is easily affected by posture, illumination,
shielding and other factors, which makes the recognition effect of traditional face recognition …

3AU-Net: triple attention U-net for retinal vessel segmentation

L Jin - 2020 IEEE 2nd International Conference on Civil …, 2020 - ieeexplore.ieee.org
Retinal Vessel segmentation is an indispensable part of the task of the automatic detection
of retinopathy through fundus images, while there are several challenges, such as lots of …

Dragon fruit disease image segmentation based on FCM algorithm and two-dimensional OTSU algorithm

W Dong, Y Xia, Y Liu - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
The prevention and control of pitaya fruit is very important. In this paper, the pitaya fruit
disease and disease spots are separated from the image to determine the type of pitaya fruit …

Online multi-object tracking based on improved kernel correlation filter

Q Wu, W Xue, X Zheng, W He - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
In multi-target tracking, the target's scale change and occlusion problems easily lead to
target loss. At the same time, multi-target tracking algorithm of data association based on …

Masks r-cnn text detector

P Duan, J Pan, W Rao - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Scene text detection and scene text recognition are important components of scene text
recognition system. Scene text detection, the initial stage of scene text recognition, aims to …