Multi‐objectives optimisation of features selection for the classification of thyroid nodules in ultrasound images-Reference-Cited by-同舟云学术

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Multi‐objectives optimisation of features selection for the classification of thyroid nodules in ultrasound images

Published:2020-06-08 Issue:9 Volume:14 Page:1901-1908
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Aboudi Noura¹,Guetari Ramzi²,Khlifa Nawres¹

Affiliation:

1. Laboratory of Biophysics and Medical Technologies, Higher Institute of Medical Technologies of Tunis, University of Tuins El Manar1006TunisTunisia

2. LIMTIC LaboratoryUniversity of Tuins El Manar, Higher Institute of Computer Science of Tunis, 2080 ArianaTunisia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.1540

Reference40 articles.

1. A clinical decision support system using ultrasound textures and radiologic features to distinguish metastasis from tumor‐free cervical lymph nodes in patients with papillary thyroid carcinoma;Abbasian‐Ardakani A.;J. Ultrasound Med.,2018

2. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer

3. A segmentation method and classification of diagnosis for thyroid nodules;Singh N.;IOSR J. Comput. Eng.,2012

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

5. Patch-based classification of thyroid nodules in ultrasound images using direction independent features extracted by two-threshold binary decomposition

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3. Hybrid deep learning assisted multi classification: Grading of malignant thyroid nodules;International Journal for Numerical Methods in Biomedical Engineering;2024-05-12

4. Quantum intelligence in medicine: Empowering thyroid disease prediction through advanced machine learning;IET Quantum Communication;2023-12-19

5. Automatic ultrasound diagnosis of thyroid nodules: a combination of deep learning and KWAK TI-RADS;Physics in Medicine & Biology;2023-10-16

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