For this results, I trained the model on the data from paper "Analysis of Neuronal Spike Trains, Deconstructed, by Aljadeff et. al. 2016" with some arbitrary hyperparameters. For better results, more ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Abstract: Segmentation of retinal vessels in fundus images is a key computational task for assessing retinal health. Deep learning (DL) methods, particularly convolutional neural networks (CNNs), are ...

Python is a preferred programming language for image processing, thanks to its broad selection of libraries that accommodate various image processing activities. This article will explore some of the ...

Abstract: Retinal image segmentation is essential for analyzing retinal structures like vessels and diagnosing retinopathy. However, the inherent intricacy of the retina, along with annotation ...

Main Camera Triple 48 MP, f/1.8, 24mm (wide), 1/1.28", 1.22µm, dual pixel PDAF, sensor-shift OIS 12 MP, f/2.8, 120mm (periscope telephoto), 1/3.06", 1.12µm, dual ...

Background: Patients with acute ischaemic stroke (AIS) undergoing endovascular treatment may have a poor prognosis, even with successful recanalization. This study aims to evaluate a machine learning ...