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  4. Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation
 
conference paper

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Li, Zhihao
•
Yang, Jiancheng  
•
Xu, Yongchao
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Greenspan, H
•
Madabhushi, A
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January 1, 2023
Medical Image Computing And Computer Assisted Intervention, Miccai 2023, Pt Iii
26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Pulmonary nodules and masses are crucial imaging features in lung cancer screening that require careful management in clinical diagnosis. Despite the success of deep learning-based medical image segmentation, the robust performance on various sizes of lesions of nodule and mass is still challenging. In this paper, we propose a multi-scale neural network with scale-aware test-time adaptation to address this challenge. Specifically, we introduce an adaptive Scale-aware Test-time Click Adaptation method based on effortlessly obtainable lesion clicks as test-time cues to enhance segmentation performance, particularly for large lesions. The proposed method can be seamlessly integrated into existing networks. Extensive experiments on both open-source and in-house datasets consistently demonstrate the effectiveness of the proposed method over some CNN and Transformer-based segmentation methods. Our code is available at https://github.com/SplinterLi/SaTTCA.

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Type
conference paper
DOI
10.1007/978-3-031-43898-1_65
Web of Science ID

WOS:001109627700065

Author(s)
Li, Zhihao
Yang, Jiancheng  
Xu, Yongchao
Zhang, Li
Dong, Wenhui
Du, Bo
Editors
Greenspan, H
•
Madabhushi, A
•
Mousavi, P
•
Salcudean, S
•
Duncan, J
•
Syeda-Mahmood, T
•
Taylor, R
Date Issued

2023-01-01

Publisher

Springer International Publishing Ag

Publisher place

Cham

Published in
Medical Image Computing And Computer Assisted Intervention, Miccai 2023, Pt Iii
ISBN of the book

978-3-031-43897-4

978-3-031-43898-1

Volume

14222

Start page

681

End page

691

Subjects

Technology

•

Life Sciences & Biomedicine

•

Pulmonary Lesion Segmentation

•

Pulmonary Mass Segmentation

•

Test-Time Adaptation

•

Multi-Scale

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CVLAB  
Event nameEvent placeEvent date
26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Vancouver, CANADA

OCT 08-12, 2023

FunderGrant Number

National Key Research and Development Program of China

2018AAA0100400

National Natural Science Foundation of China

62225113

Available on Infoscience
February 20, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/204689
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