Illustration of the Attention-Gated U-Net (AGU-Net) architecture design, with multi-scale input and deep supervision.

<p>The representation only shows three levels for viewing purposes while five levels have been used in this work.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Karen-Helene Støverud (3211221) (author)
مؤلفون آخرون:	David Bouget (13161678) (author), André Pedersen (12005618) (author), Håkon Olav Leira (8031485) (author), Tore Amundsen (144518) (author), Thomas Langø (584122) (author), Erlend Fagertun Hofstad (8031479) (author)
منشور في:	2024
الموضوعات:	Medicine Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified multiscale fusion design handle various anomalies different considered approaches covid &# 8217 bringing substantial improvement atm &# 8217 fifth airway generation automatic airway segmentation airway segmentation task severe pathologies affecting airway tree anatomy learning based models aeropath ), consisting 27 ct images open web application 22 dataset includes airway tree web application ct images competitive open pathologies ranging challenging pathologies large dataset aeropath dataset 22 dataset xlink "> source methods results demonstrated pulmonary diseases proposed model proposed method performance metrics new data lung diseases lung cancer live guidance large tumors large group intervention planning enabling training easily test corresponding trachea challenging pathology challenge released bronchi annotations 22 challenge
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