Abstract: This research was conducted to compare image processing accuracy in detecting lung cancer using two feature extraction methods: grey-level co-occurrence matrix feature extraction and local ...
This repository contains a MATLAB-based image processing project focused on leaf segmentation and morphometric analysis. The work was completed as part of the MOD002643 – Image Processing module at ...
The proposed optical computing chip enables high-speed, parallel processing for quantitative trading with unprecedented low latency, accelerating the crucial and demanding step of feature extraction.
As Washington state seeks to make COVID-19 vaccines more available, federal guidance continues to lock into place, firmly shifting away from years of recommendations that aimed to boost vaccination ...
The Illinois Department of Public Health has recommended all adults get a COVID-19 shot this fall despite federal guidelines that narrowed the group of people recommended for the shot. IDPH released a ...
As a group of advisers to the US Centers for Disease Control and Prevention met this week to discuss recommendations on who should get the updated Covid-19 shot this season, a newly published analysis ...
In a series of memos last week, Center for Biologics Evaluation and Research Director Vinay Prasad outlined the FDA’s thinking on the recent limited approvals for updated COVID-19 vaccines. Back from ...
The American Academy of Pediatrics released its updated recommendations for vaccines on Tuesday, including Covid-19 shots for infants and young children – a break from the current US for Centers for ...
A new COVID-19 variant is climbing the ranks in the United States, becoming the third-most common strain of the summer. Variant XFG, colloquially known as "Stratus," was first detected in Southeast ...
AstraZeneca has elected not to move forward with a COVID-19 preventive in the US, despite approvals in other parts of the world, after resistance emerged in a late-stage clinical trial. AstraZeneca ...
Introduction: Anterior cruciate ligament (ACL) injuries hold significant clinical importance, making the development of accurate and efficient diagnostic tools essential. Deep learning has emerged as ...
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