Literature DB >> 32405165

Classification of thyroid nodules using ultrasound images.

T Manivannan1, Nagarajan Ayyappan1.   

Abstract

Medical imaging using image sensors play an essential role in effective diagnosis. Therefore, it is of interest to use medical imaging techniques for the diagnosis of thyroid-linked dysfunction. Ultrasound is the low-cost image processing technique to study internal organs and blood flow in blood vessels. Digital processed images help to distinguish between normal, benign and malignant tissue stages in organs.Hence, it is of importance to discuss the design and development of a computer-aided image-processing model for thyroid nodule identification, classification and diagnosis.
© 2020 Biomedical Informatics.

Entities:  

Keywords:  Computer Aided Diagnosis (CAD); Ultrasonography; feature extraction ; thyroid nodules

Year:  2020        PMID: 32405165      PMCID: PMC7196169          DOI: 10.6026/97320630016145

Source DB:  PubMed          Journal:  Bioinformation        ISSN: 0973-2063


  6 in total

1.  Additional Value of Superb Microvascular Imaging for Thyroid Nodule Classification with the Thyroid Imaging Reporting and Data System.

Authors:  Lin Chen; Jia Zhan; Xue-Hong Diao; Ying-Chun Liu; Yi-Xin Shi; Yue Chen; Wei-Wei Zhan
Journal:  Ultrasound Med Biol       Date:  2019-05-24       Impact factor: 2.998

2.  Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images.

Authors:  U Raghavendra; Anjan Gudigar; M Maithri; Arkadiusz Gertych; Kristen M Meiburger; Chai Hong Yeong; Chakri Madla; Pailin Kongmebhol; Filippo Molinari; Kwan Hoong Ng; U Rajendra Acharya
Journal:  Comput Biol Med       Date:  2018-02-07       Impact factor: 4.589

Review 3.  Texture analysis and machine learning to characterize suspected thyroid nodules and differentiated thyroid cancer: Where do we stand?

Authors:  Martina Sollini; Luca Cozzi; Arturo Chiti; Margarita Kirienko
Journal:  Eur J Radiol       Date:  2017-12-07       Impact factor: 3.528

Review 4.  Application of wavelet techniques for cancer diagnosis using ultrasound images: A Review.

Authors:  Vidya K Sudarshan; Muthu Rama Krishnan Mookiah; U Rajendra Acharya; Vinod Chandran; Filippo Molinari; Hamido Fujita; Kwan Hoong Ng
Journal:  Comput Biol Med       Date:  2015-12-18       Impact factor: 4.589

5.  Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network.

Authors:  Jianning Chi; Ekta Walia; Paul Babyn; Jimmy Wang; Gary Groot; Mark Eramian
Journal:  J Digit Imaging       Date:  2017-08       Impact factor: 4.056

6.  Artificial Intelligence-Based Thyroid Nodule Classification Using Information from Spatial and Frequency Domains.

Authors:  Dat Tien Nguyen; Tuyen Danh Pham; Ganbayar Batchuluun; Hyo Sik Yoon; Kang Ryoung Park
Journal:  J Clin Med       Date:  2019-11-14       Impact factor: 4.241

  6 in total

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