This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...
Introduction: Cardiovascular Diseases (CVD) are the leading cause of death globally. Non-invasive, cost-effective imaging techniques play a crucial role in early detection and prevention of CVD.
Forbes contributors publish independent expert analyses and insights. William A. Haseltine, Ph.D., covers genomics and regenerative medicine AI-powered retinal imaging closes healthcare gaps, enables ...
The Korea Research Institute of Standards and Science (KRISS, President Lee Ho Seong) has developed a retina-mimicking eye phantom* that faithfully replicates the structural layers and microvascular ...
Share on Pinterest Eye health may hold the key to predicting heart disease and aging risk, according to new research. PeopleImages/Getty Images Scientists have known for some time now that the eyes ...
Creative suite company Canva launched its own design model on Thursday that understands design layers and formats to power its features. The company also introduced new products and features, updates ...
Please provide your email address to receive an email when new articles are posted on . Progression independent of relapse activity was linked to thinning of certain retinal layers. OCT may be a ...
The Manhattan-sized interstellar object rocketing through Earth’s inner solar system is covered by a cloud of carbon dioxide, a characteristic that shocked experts, according to an analysis of brand ...
Abstract: In this article, an in-depth analysis is presented on the role of the phase in the ship classification using single-polarization synthetic aperture radar (SAR) images. To conduct the ...
The Kidney Intelligent Diagnosis System (KIDS) uses retinal images for noninvasive CKD diagnosis, reducing the need for renal biopsies. The model achieved high accuracy, with an AUC of 0.839-0.993 for ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results