甲状腺病理分析的医学数据库与决策系统

2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT) Pub Date : 2021-09-21 DOI:10.1109/aict52120.2021.9628934

Anton Vovk, A. Fechan, Mikola Kushnirchuk, O. Boyko, A. Kucher, Oleksiy Dutchak

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引用次数: 0

摘要

本文展示了利用卷积神经网络解决甲状腺病理诊断问题的可能性。该系统由两个主要部分组成:用于数据收集的在线服务和用于甲状腺结节分类的决策支持系统。数据收集的在线服务以web应用程序的形式实现，该应用程序以数字和图形形式积累甲状腺超声检查结果以及细针穿刺活检(FNA)的结果。

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Medical Database and Decision System for the Analysis of the Thyroid Pathologies

The paper shows the possibility of using convolutional neural networks to solve the problem of diagnosing pathologies of the thyroid gland. The proposed system consists of two main parts: an online service for data collection and a decision support system for the classification of thyroid nodules. The online service for data collection is implemented in the form of a web application, which accumulates the results of ultrasound investigation of the thyroid gland, both in numerical and graphical form and the results of fine-needle aspiration biopsy (FNA).

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2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)

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