Advanced Deep Learning Method for Thyroid Nodule Detection and Evaluation in Ultrasound Images-Reference-Cited by-同舟云学术

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Advanced Deep Learning Method for Thyroid Nodule Detection and Evaluation in Ultrasound Images

Published:2024-01-04 Issue: Volume:22 Page:616-621
ISSN:
Container-title:2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)
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Author:

S Sesha Vidhya¹,Sarkar Swagata²,B R Rashmi³,R Suseendra⁴,P S Prakash Kumar⁵,S Srimathi⁶

Affiliation:

1. RMK College of Engineering and Technology,Department of ECE

2. Science Sri Sairam Engineering College Sai Leo Nagar, West Tambaram,Department of Artificial intelligence and Data,Chennai 44

3. Raja Rajeswari College of Engineering,Department of Computer Science and Engineering,Kumbalgodu,Karnataka,560074

4. Panimalar Engineering College,Department of Information Technology

5. K S R Institute for Engineering and Technology,Department of Information Technology,Tiruchengode, Namakkal,637215

6. Saveetha School of Engineering, SIMATS,Department of Bio Technology,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467178/10467214/10467796.pdf?arnumber=10467796

Reference14 articles.

1. Deep learning

2. Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI

3. Thyroid nodules: diagnostic evaluation based on thyroid cancer risk assessment

4. Applications of machine learning and deep learning to thyroid imaging: where do we stand?

5. American association of clinical endocrinologists, American college of endocrinology, and associazione medici endocrinologi medical guidelines for clinical practice for the diagnosis and management of thyroid nodules-2016 update;Gharib;Endocrine Practice Official Journal of the American College of Endocrinology & the American Association of Clinical Endocrinologists,2016

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