Scientific Research Publishing

Naz, S., Akram, M.U. and Khan, S.A. (2017) Automated Segmentation of Retinal Layers from OCT Images Using Structure Tensor and Kernel Regression + GTDP Approach. IEEE, NextComp ...

ABSTRACT: Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for retinal disease diagnosis. However, manual interpretation of OCT images is time-consuming, ...
Scientific Research Publishing

Deep Learning-Based Multi-Class Classification of Retinal Diseases from OCT Images Using Transfer Learning ()

1 Amazon Web Services, Seattle, USA. 2 Rajiv Gandhi University of Knowledge Technologies, Nuzvid, India. Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for ...
bjo.bmj

Convolutional neural network to identify symptomatic Alzheimer’s disease using multimodal retinal imaging

Correspondence to Dr Sharon Fekrat, Department of Ophthalmology, Duke University, Durham, NC 27708-0187, USA; sharon.fekrat{at}duke.edu Background/Aims To develop a convolutional neural network (CNN) ...
Frontiers

Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images

Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...
Europe PMC

tUbe net: a generalisable deep learning tool for 3D vessel segmentation

Deep learning has become an invaluable tool for bioimage analysis but, while open-source cell annotation software such as cellpose are widely used, an equivalent tool for three-dimensional (3D) ...
IEEE

Retinal Blood Vessel Segmentation and Analysis using Lightweight Spatial Attention based CNN and Data Augmentation

Abstract: The exact detection and creation of treatment regimens for conditions like diabetic retinopathy and hypertensive retinopathy depend on the segmentation of retinal blood vessels. Methods ...
IEEE

A Deep Ensemble Learning-Based CNN Architecture for Multiclass Retinal Fluid Segmentation in OCT Images

Abstract: Retinal Fluids (fluid collections) develop because of the accumulation of fluid in the retina, which may be caused by several retinal disorders, and can lead to loss of vision. Optical ...
ascopubs.org

Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology

HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma Adversarial images represent a ...