deep learning-based head model segmentation algorithm sim4life v7.2 (ZMT Zurich MedTech)
90
Structured Review
ZMT Zurich MedTech
deep learning-based head model segmentation algorithm sim4life v7.2
Deep Learning Based Head Model Segmentation Algorithm Sim4life V7.2, supplied by ZMT Zurich MedTech, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deep+learning-based+head+model+segmentation+algorithm+sim4life+v7%2E2/sim4life/pm39404109-867-3-9
Average 90 stars, based on 1 article reviews
Deep Learning Based Head Model Segmentation Algorithm Sim4life V7.2, supplied by ZMT Zurich MedTech, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deep+learning-based+head+model+segmentation+algorithm+sim4life+v7%2E2/sim4life/pm39404109-867-3-9
Average 90 stars, based on 1 article reviews
deep learning-based head model segmentation algorithm sim4life v7.2 - by Bioz Stars,
2026-10
90/100 stars
Images
Related Articles
other:Article Title: 2024 Annual Meeting Abstracts - General Poster Discussion. Article Snippet: Purpose: The application of artificial intelligence (AI) for an efficient IMRT quality assurance (QA) —which uses AI to identify IMRT plans for selective measurement — has demonstrated promising results in properly triaging plans for QA and potentially reducing the workload for measurement-based QA.. Yet its clinical implementation requires a comprehensive risk assessment to ensure patient safety.. This work evaluated our AI-assisted hybrid quality assurance (AIHQA) workflow using failure mode and effect analysis (FMEA). |