SHARE PointClouds Studio V2.5.0 and the AI Engine Algorithm Upgrade address this by processing, filtering, and transforming ...
The 12-month engagement, titled “Enhancing Pathology through Quantum Computing,” is funded through Avanza UC 2025, the Internal Research and Creation Competition of UC Chile. To the collaborators’ ...
The aim of this study was to evaluate the performance of an artificial intelligence (AI)–based method for automated ...
The work addresses a gap in biometric testing, as NIST’s IREX has focused primarily on closed-source commercial iris ...
Current fetal monitoring tools for physicians to closely follow high-risk pregnancies are inadequate, so researchers at Stanford Medicine, the University of California San Diego and Oxford University ...
Abstract: Machine learning algorithm for multi-modal image segmentation is extensively employed in medical analysis and diagnosis. Clustering represents a mainstream approach for image segmentation, ...
Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as Faster R-CNN and ...
The Tapenade pipeline enables single-cell, whole-mount 3D quantification in dense multilayer organoids, linking spatial gene co-expression and nuclear deformation to emerging tissue-scale organization ...
ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results