A knowledge-interpretable multi-task learning framework for automated thyroid nodule diagnosis in ultrasound videos

Author:

Wu XiangqiongORCID,Tan GuanghuaORCID,Luo HongxiaORCID,Chen ZhilunORCID,Pu Bin,Li Shengli,Li Kenli

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference54 articles.

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2. Quo vadis, action recognition? A new model and the kinetics dataset;Carreira,2017

3. Data-driven analysis of radiologists’ behavior for diagnosing thyroid nodules;Chang;IEEE J. Biomed. Health Inform.,2020

4. Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning;Chen;Med. Image Anal.,2021

5. Thyroid Nodule Classification Using Two Levels Attention-Based Bi-Directional LSTM with Ultrasound Reports;Chen,2018

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