Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision

Qayyum, A; Mazher, M; Niederer, S; Razzak, Imran

Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision

conference contribution

posted on 2023-04-14, 03:59 authored by A Qayyum, M Mazher, S Niederer, Imran Razzak

Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision

History

Volume

13648

Pagination

55-62

Location

Singapore

Publisher DOI

https://doi.org/10.1007/978-3-031-27324-7_7

Start date

2022-09-18

End date

2022-09-22

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783031273230

Language

English

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

MICCAI 2022 Challenges : Proceedings of the MICCAI Challenge on Correction of Brainshift with Intra-Operative Ultrasound, MICCAI Challenge on Kidney Parsing & Challenge on Mediastinal Lesion Analysis 2022 combined conference

Event

MICCAI Challenge on Correction of Brainshift with Intra-Operative Ultrasound, MICCAI Challenge on Kidney Parsing & Challenge on Mediastinal Lesion Analysis. Combined conference (2022 : Singapore)

Publisher

Springer

Place of publication

Cham, Switzerland

Series

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication URL

http://dx.doi.org/10.1007/978-3-031-27324-7_7

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Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision

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