A Deep Learning Methodology for the Detection of Abnormal Parathyroid Glands via Scintigraphy with <sup>99m</sup>Tc-Sestamibi

A Deep Learning Methodology for the Detection of Abnormal Parathyroid Glands via Scintigraphy with <sup>99m</sup>Tc-Sestamibi

Background: Parathyroid proliferative disorder encompasses a wide spectrum of diseases, including parathyroid adenoma (PTA), parathyroid hyperplasia, and parathyroid carcinoma. Imaging modalities that deliver their results preoperatively help in the localisation of parathyroid glands (PGs) and assis...

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Bibliographic Details
Main Authors: Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Diseases
Subjects:
deep learning
parathyroid gland
scintigraphy
artificial intelligence
Online Access:https://www.mdpi.com/2079-9721/10/3/56

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