Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images

Ma, Jinlian, Wu, Fa, Jiang, Tian'an, Zhu, Jiang, Kong, Dexing·2017·Medical Physics
DOI 10.1002/mp.12134

Cited by (143)

Items 101–143 of 143

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  12. Differential regional importance mapping for thyroid nodule malignancy prediction with potential to improve needle aspiration biopsy sampling reliability
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  14. Detection of Thyroid Stages Classification by Using Convolutional Neural Network Techniques
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  15. An Introduction to Deep Learning Techniques in Ultrasound Image Modality
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  16. A Literature Review on Thyroid Hormonal Problems in Women Using Data Science and Analytics
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  19. A Feedback Attention Network for Classification and Visualization of Thyroid Nodules on Ultrasound Images.
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  20. Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery
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  21. Ultrasound and artificial intelligence
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  22. Quantitative Visualization of Differentiated Importance of Nodular Regions for Malignancy Prediction by Class Activation Map and its Variant
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  23. An Interpretable Object Detection-Based Model for the Diagnosis of Neonatal Lung Diseases using Ultrasound Images
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  25. An Improved Classification Method of Ultrasonic Thyroid Standard Planes Based on Bayesian Optimization of Multi-Feature Parameters for Portable Application
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  26. Computer Aided Diagnosis System of Thyroid Nodules from Scintigraphic Images
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  30. Advance of Thyroid Nodule Ultrasound Diagnosis Based on Deep Learning
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  41. Malignancy-Aware Dual-Task Heatmap Decoupling for thyroid ultrasound nodule detection and classification
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