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Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...
One reason I've been underwhelmed by AI is that companies consistently frame it as a solution to every problem under the sun. That's why Meta's new Segment Anything Model (SAM 2) is so intriguing to ...
Researchers from Science Tokyo develop a Multi-scale Hessian-enhanced Patch-based Neural Network Model for Segmentation of Liver Tumor from CT Scans. Liver cancer is the sixth most common cancer ...
Bridging the digital literacy gap: Empowering patients and care partners through the Digital Sherpa program. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...
A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...
Delivers identity-aware and risk-driven segmentation modeling across IT, OT, IoT, and IoMT environments Forescout Technologies, a global leader in cybersecurity, today announced a new, agentless, ...
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