Applications of deep learning in fundus images: A review
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …
importance. Due to its powerful performance, deep learning is becoming more and more …
Deep learning-based regression and classification for automatic landmark localization in medical images
In this study, we propose a fast and accurate method to automatically localize anatomical
landmarks in medical images. We employ a global-to-local localization approach using fully …
landmarks in medical images. We employ a global-to-local localization approach using fully …
Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification
The integration of artificial intelligence (AI) in diagnosing diabetic retinopathy, a major
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …
Grape stem detection using regression convolutional neural networks
Automation of grapevine agricultural tasks, eg, harvesting, requires reliable methods for
detecting the exact cutting points of the grape bunches. Dynamically changing vineyard …
detecting the exact cutting points of the grape bunches. Dynamically changing vineyard …
Joined: Prior guided multi-task learning for joint optic disc/cup segmentation and fovea detection
Fundus photography has been routinely used to document the presence and severity of
various retinal degenerative diseases such as age-related macula degeneration, glaucoma …
various retinal degenerative diseases such as age-related macula degeneration, glaucoma …
[HTML][HTML] Learning the retinal anatomy from scarce annotated data using self-supervised multimodal reconstruction
Deep learning is becoming the reference paradigm for approaching many computer vision
problems. Nevertheless, the training of deep neural networks typically requires a …
problems. Nevertheless, the training of deep neural networks typically requires a …
End-to-end fovea localisation in colour fundus images with a hierarchical deep regression network
Accurately locating the fovea is a prerequisite for developing computer aided diagnosis
(CAD) of retinal diseases. In colour fundus images of the retina, the fovea is a fuzzy region …
(CAD) of retinal diseases. In colour fundus images of the retina, the fovea is a fuzzy region …
Screening retinal images and extraction of the retinal blood vessel for identifying diseases and classification of arteries and veins by using deep learning
In recent years, the extraction of retinal blood vessels from low contrast retinal images has
become a challenging task for diagnosing retinal diseases such as Diabetic Retinopathy …
become a challenging task for diagnosing retinal diseases such as Diabetic Retinopathy …
Efficient and robust optic disc detection and fovea localization using region proposal network and cascaded network
The optic disc (OD) and fovea are two important anatomical landmarks of the retina.
Localization of OD and fovea plays an important role in retinal image analysis. This paper …
Localization of OD and fovea plays an important role in retinal image analysis. This paper …
ECLNet: Center localization of eye structures based on Adaptive Gaussian Ellipse Heatmap
W Zhao, Z Zhang, Z Wang, Y Guo, J Xie, X Xu - Computers in Biology and …, 2023 - Elsevier
Accurately localizing the center of specific biological structures in medical images is of great
significance for clinical treatment. The center localization task can be viewed as an …
significance for clinical treatment. The center localization task can be viewed as an …