Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...

It may look like a picture of a panda bear to you, but to your business's AI agent, it can act like a skeleton key, bypassing ...

Researchers have produced the most detailed map yet of how stem cells in the growing tip of a plant begin their journey to form the many cell types that shape flowers and stems. They identified 18 ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...

Graclus (latest: Version 1.2) is a fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation. This is possible ...

Computed tomography (CT) is an important imaging technique used in medical analysis of the internal structure of the human body. Previously, image segmentation methods were required after acquiring ...

Images are an essential medium of communication in various fields, from medical imaging and satellite analysis to artificial intelligence and computer vision. While colored images are rich in visual ...

Abstract: In our study, we present a novel method for automating the segmentation and classification of bone marrow images to distinguish between normal and Acute Lymphoblastic Leukaemia (ALL). Built ...

MATLAB is a computational tool designed to perform mathematical computations. The first release of MATLAB as a commercial product, was made in the year 1984 at Las Vegas. In earlier days , MATLAB was ...

Abstract: The article presents an algorithm for detecting and separating the iris from other parts of the human eye. Iris detection is performed by sequentially implementing an edge detector and Hough ...