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A Simple Localization and Classification Framework based on Template Matching and Self-Attention for TAO treatment diagnosis
- Lee, Sanghyuck;
- Song, Taekyung;
- Kim, Min-Gi;
- Song, Da-Hyun;
- Park, Sangkeun;
- ... Lee, Jaesung
Citations
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0초록
Treatment decision of thyroid-Associated orbitopathy is crucial to alleviate different side effect of the disease. Moreover, recent studies show the possibility of neural network-based treatment prediction. However, existing neural networks are affected by regions with fewer disease symptoms. Moreover, fine-grained segmentation or cropping is time-consuming and requires a large resource of professionals. In this paper, a simple localization and classification framework is proposed based on template matching and self-Attention. Our experimental results show that the proposed method performs statistically better than the existing method with the simple effort of pre-defining eight orbit templates. © 2024 IEEE.
키워드
Convolutional neural network; Self-Attention; Template matching; Thyroid-Associated orbitopathy; Transformer
- 제목
- A Simple Localization and Classification Framework based on Template Matching and Self-Attention for TAO treatment diagnosis
- 저자
- Lee, Sanghyuck; Song, Taekyung; Kim, Min-Gi; Song, Da-Hyun; Park, Sangkeun; Lee, Jaesung
- 발행일
- 2024-01
- 유형
- Conference paper
- 저널명
- Digest of Technical Papers - IEEE International Conference on Consumer Electronics
- 권
- 2024 IEEE
- 언어
- ENG
- 출판사
- Institute of Electrical and Electronics Engineers Inc.
- ISSN
- P 0747-668X