Computer Science > Computer Vision and Pattern Recognition
arXiv:2206.13318 (cs)
[Submitted on 27 Jun 2022 (v1), last revised 30 Jun 2022 (this version, v3)]
Title:Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos
View a PDF of the paper titled Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos, by Yuchen Wang and 6 other authors
View PDFAbstract:Ultrasound examination is widely used in the clinical diagnosis of thyroid nodules (benign/malignant). However, the accuracy relies heavily on radiologist experience. Although deep learning techniques have been investigated for thyroid nodules recognition. Current solutions are mainly based on static ultrasound images, with limited temporal information used and inconsistent with clinical diagnosis. This paper proposes a novel method for the automated recognition of thyroid nodules through an exhaustive exploration of ultrasound videos and key-frames. We first propose a detection-localization framework to automatically identify the clinical key-frame with a typical nodule in each ultrasound video. Based on the localized key-frame, we develop a key-frame guided video classification model for thyroid nodule recognition. Besides, we introduce a motion attention module to help the network focus on significant frames in an ultrasound video, which is consistent with clinical diagnosis. The proposed thyroid nodule recognition framework is validated on clinically collected ultrasound videos, demonstrating superior performance compared with other state-of-the-art methods.
| Subjects: | Computer Vision and Pattern Recognition (cs.CV) |
| Cite as: | arXiv:2206.13318 [cs.CV] |
| (orarXiv:2206.13318v3 [cs.CV] for this version) | |
| https://doi.org/10.48550/arXiv.2206.13318 arXiv-issued DOI via DataCite |
Submission history
From: Yuchen Wang [view email][v1] Mon, 27 Jun 2022 14:03:26 UTC (446 KB)
[v2] Tue, 28 Jun 2022 15:14:31 UTC (446 KB)
[v3] Thu, 30 Jun 2022 04:01:12 UTC (446 KB)
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View a PDF of the paper titled Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos, by Yuchen Wang and 6 other authors
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