Deep learning and medical image processing techniques for diabetic retinopathy: a survey of applications, challenges, and future trends
Diabetic retinopathy (DR) is a common eye retinal disease that is widely spread all over the
world. It leads to the complete loss of vision based on the level of severity. It damages both …
world. It leads to the complete loss of vision based on the level of severity. It damages both …
Retinal OCT image registration: methods and applications
L Pan, X Chen - IEEE Reviews in Biomedical Engineering, 2021 - ieeexplore.ieee.org
Retinal image registration is a critical task in the diagnosis and treatment of various eye
diseases. And as a relatively new imaging method, optical coherence tomography (OCT) …
diseases. And as a relatively new imaging method, optical coherence tomography (OCT) …
Automated inter-device 3d OCT image registration using deep learning and retinal layer segmentation
Optical coherence tomography (OCT) is the most widely used imaging modality in
ophthalmology. There are multiple variations of OCT imaging capable of producing …
ophthalmology. There are multiple variations of OCT imaging capable of producing …
Mix histogram and gray level co-occurrence matrix to improve glaucoma prediction machine learning
Glaucoma is an eye disease that is the second leading cause of blindness. Examination of
glaucoma by an ophthalmologist is usually done by observing the retinal image directly …
glaucoma by an ophthalmologist is usually done by observing the retinal image directly …
The big warp: Registration of disparate retinal imaging modalities and an example overlay of ultrawide-field photos and en-face OCTA images
TBT Thuma, JA Bogovic, KB Gunton, H Jimenez… - Plos one, 2023 - journals.plos.org
Purpose To develop an algorithm and scripts to combine disparate multimodal imaging
modalities and show its use by overlaying en-face optical coherence tomography …
modalities and show its use by overlaying en-face optical coherence tomography …
AFFD-Net: A Dual-Decoder Network Based on Attention-Enhancing and Feature Fusion for Retinal Vessel Segmentation
X Zijian, N Chunyu, L Mingye, M Kaizheng… - IEEE …, 2023 - ieeexplore.ieee.org
The morphological characteristics of retinal vessels in the fundus serve as the primary basis
for diagnosing and assessing the risk of ophthalmic diseases. An effective segmentation …
for diagnosing and assessing the risk of ophthalmic diseases. An effective segmentation …
Controllable editing via diffusion inversion on ultra-widefield fluorescein angiography for the comprehensive analysis of diabetic retinopathy
By incorporating multiple indicators that facilitate clinical decision making and effective
management of diabetic retinopathy (DR), a comprehensive understanding of the …
management of diabetic retinopathy (DR), a comprehensive understanding of the …
Chronological Registration of OCT and Autofluorescence Findings in CSCR: Two Distinct Patterns in Disease Course
Optical coherence tomography (OCT) and fundus autofluorescence (FAF) are important
imaging modalities for the assessment and prognosis of central serous chorioretinopathy …
imaging modalities for the assessment and prognosis of central serous chorioretinopathy …
Bridging the resources gap: deep learning for fluorescein angiography and optical coherence tomography macular thickness map image translation
Background To assess the ability of the pix2pix generative adversarial network (pix2pix
GAN) to synthesize clinically useful optical coherence tomography (OCT) color-coded …
GAN) to synthesize clinically useful optical coherence tomography (OCT) color-coded …
The Successive Next Network as Augmented Regularization for Deformable Brain MR Image Registration
Deep-learning-based registration methods can not only save time but also automatically
extract deep features from images. In order to obtain better registration performance, many …
extract deep features from images. In order to obtain better registration performance, many …