Using deep convolutional neural networks for multi-classification of thyroid tumor by histopathology: a large-scale pilot study-Reference-Cited by-同舟云学术

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Using deep convolutional neural networks for multi-classification of thyroid tumor by histopathology: a large-scale pilot study

Published:2019-09 Issue:18 Volume:7 Page:468-468
ISSN:2305-5839
Container-title:Annals of Translational Medicine
language:
Short-container-title:Ann. Transl. Med.

Author:

Wang Yunjun,Guan Qing,Lao Iweng,Wang Li,Wu Yi,Li Duanshu,Ji Qinghai,Wang Yu,Zhu Yongxue,Lu Hongtao,Xiang Jun

Publisher

AME Publishing Company

Subject

General Medicine

Cited by 61 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep convolutional neural network model ResNeSt for discrimination of papillary thyroid carcinomas and benign nodules in thyroid nodules diagnosed as atypia of undetermined significance;Gland Surgery;2024-05

2. MFO-TL: modified firefly optimal transfer learning based motion correction of fetal brain and placenta MRI for thyroid prediction;Evolving Systems;2024-01-14

3. The New Landscape of Diagnostic Imaging with the Incorporation of Computer Vision;Artificial Intelligence;2023-12-13

4. Machine Learning based Computer Aided Diagnosis Models for Thyroid Nodule Detection and Classification: A Comprehensive Survey;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

5. Papillary Thyroid Cancer Histopathological Image Classification Using Pretrained ConvNeXt Tiny and Grad-CAM Interpretation;2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2023-12-08

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