Researchers developed SegAnyNeuron, a feature modeling framework that improves three-dimensional neuronal image segmentation ...
Accurate measurement of rice plant traits—such as grain number, leaf size, and stem thickness—is essential for breeding ...
The study indicates AI can enhance cardiac MRI analysis and mortality prediction, yet its clinical benefits and ...
Joanmarie Del Vecchio, assistant professor of geology, will share insights from studying changing permafrost landscapes at ...
A hybrid particle swarm and evolutionary optimization algorithm uses multilevel thresholding to isolate green maize seedlings from complex field backgrounds with high fidelity.
ABSTRACT: Acute Lymphoblastic Leukemia (ALL), a highly aggressive subtype of blood cancer, demands early and accurate diagnosis to improve patient outcomes. Traditional diagnostic methods relying on ...
If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...
Medical image segmentation is fundamental for disease diagnosis, particularly in the context of breast cancer, a prevalent malignancy affecting women. The accuracy of lesion localization and ...
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 ...
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