April 12, 2024, 4:46 a.m. | Miruna-Alexandra Gafencu, Yordanka Velikova, Mahdi Saleh, Tamas Ungi, Nassir Navab, Thomas Wendler, Mohammad Farid Azampour

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.07668v1 Announce Type: cross
Abstract: Purpose: Ultrasound (US) imaging, while advantageous for its radiation-free nature, is challenging to interpret due to only partially visible organs and a lack of complete 3D information. While performing US-based diagnosis or investigation, medical professionals therefore create a mental map of the 3D anatomy. In this work, we aim to replicate this process and enhance the visual representation of anatomical structures.
Methods: We introduce a point-cloud-based probabilistic DL method to complete occluded anatomical structures through …

abstract arxiv cs.cv diagnosis eess.iv free imaging information investigation map medical nature professionals type

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