Ultrasound Segmentation Analysis via Distinct and Completed Anatomical Bordersd

MCML Authors

Yordanka Velikova

→ Group Nassir Navab
 Computer Aided Medical Procedures & Augmented Reality

Hong Joo Lee

Dr.

→ Group Nassir Navab
 Computer Aided Medical Procedures & Augmented Reality

Nassir Navab

Prof. Dr.

Principal Investigator

Computer Aided Medical Procedures & Augmented Reality

Abstract

Segmenting ultrasound images is important for precise area and/or volume calculations, ensuring reliable diagnosis and effective treatment evaluation for diseases. Recently, many segmentation methods have been proposed and shown impressive performance. However, currently, there is no deeper understanding of how networks segment target regions or how they define the boundaries. In this paper, we present a new approach that analyzes ultrasound segmentation networks in terms of learned borders because border delimitation is challenging in ultrasound.

article

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International Journal of Computer Assisted Radiology and Surgery

19. May. 2024.

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Authors

V. G. Duque • A. Marquardt • Y. Velikova • L. Lacourpaille • A. Nordez • M. Crouzier • H. J. Lee • D. Mateus • N. Navab

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Links

DOI

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Research Area

 C1 | Medicine