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Computer Aided Diagnosis System for Thyroid Abnormalities using Advanced Imaging Techniques

Computer Aided Diagnosis System for Thyroid Abnormalities using Advanced Imaging Techniques


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Author(s):Dr. Malathi Murugesan, Dr. Muthukumar Subramanian, Dr. S. Senthilkumar, T. Manikandan and Dr. S. Mohan
Paperback ISBN:978-93-5570-095-7
Publisher:AkiNik Publications
Language:English
Pages:103
Publication Year:2021
Binding:Paperback
DOI:https://doi.org/10.22271/ed.book.1434

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Description

This book provides a detailed exploration of thyroid disorders, focusing on thyroid nodules and thyroid cancer. It discusses the anatomy of the thyroid gland, the role of ultrasound in diagnosing thyroid conditions, and the various types of thyroid cancer, including Papillary, Follicular, Medullary, and Anaplastic cancers. The book highlights the importance of early detection, especially using non-invasive ultrasound imaging, in identifying thyroid issues. It also presents survival rates, prognosis, and the significance of timely medical intervention in improving patient outcomes. This comprehensive guide is essential for medical professionals and students specializing in endocrinology and radiology.

Abstract

Thyroid disorders, including nodules and cancer, are significant health concerns, with thyroid cancer being one of the most common endocrine malignancies. This book delves into the anatomy of the thyroid, the types of thyroid cancers, and the use of ultrasound for diagnosing thyroid abnormalities. It explains the different types of thyroid cancer, such as Papillary, Follicular, and Anaplastic, with a focus on the role of early detection in improving prognosis. The book also presents statistical survival rates, highlighting the importance of appropriate treatment methods like surgery and radioiodine therapy. It serves as a crucial resource for understanding thyroid disease management.

Reviews

5.0

1 reviews





Prof. Mia Walker
  November 12, 2024

While academically rigorous, the writing remains approachable and engaging for most readers.

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