Computer-Assisted Fine-Needle Aspiration Cytology of Thyroid Using Two-Stage Refined Convolutional Neural Network

Computer-Assisted Fine-Needle Aspiration Cytology of Thyroid Using Two-Stage Refined Convolutional Neural Network

Fine-needle aspiration cytology (FNAC) is regarded as one of the most important preoperative diagnostic tests for thyroid nodules. However, the traditional diagnostic process of FNAC is time-consuming, and its accuracy is highly related to the experience of the cytopathologist. Computer-aided diagno...

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Bibliographic Details
Main Authors: Wensi Duan, Lili Gao, Juan Liu, Cheng Li, Peng Jiang, Lang Wang, Hua Chen, Xiaorong Sun, Dehua Cao, Baochuan Pang, Rong Li, Sai Liu
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Electronics
Subjects:
two-stage CAD system
fine-needle aspiration cytology (FNAC)
thyroid cytopathology
deep learning
object detection
Online Access:https://www.mdpi.com/2079-9292/11/24/4089

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