Anton Vovk, A. Fechan, Mikola Kushnirchuk, O. Boyko, A. Kucher, Oleksiy Dutchak
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引用次数: 0
Abstract
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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