Boundary regression-based reep neural network for thyroid nodule segmentation in ultrasound images
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07719-y.pdf
Reference27 articles.
1. Cui Y, Mubarik S, Li R, Yu C et al (2021) Trend dynamics of thyroid cancer incidence among china and the us adult population from 1990 to 2017: a joinpoint and age-period-cohort analysis. BMC Public Health 21(1):1–13
2. Popoveniuc G, Jonklaas J (2012) Thyroid nodules. Medical Clinics 96(2):329–349
3. Bomeli SR, LeBeau SO, Ferris RL (2010) Evaluation of a thyroid nodule. Otolaryngologic Clinics of North America 43(2):229–238
4. Yokozawa T, Fukata S, Kuma K, Matsuzuka F, Kobayashi A, Hirai K, Miyauchi A, Sugawara M (1996) Thyroid cancer detected by ultrasound-guided fine-needle aspiration biopsy. World journal of surgery 20(7):848–853
5. Chen J, You H, Li K (2020) A review of thyroid gland segmentation and thyroid nodule segmentation methods for medical ultrasound images. Computer methods and programs in biomedicine 185:105329
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