Covid-19 Ultrasound image classification using SVM based on kernels deduced from Convolutional neural network

Mapping Intimacies ◽

10.1109/ismsit52890.2021.9604551 ◽

2021 ◽

Author(s):

Saif Al-Jumaili ◽

Adil Deniz Duru ◽

Osman Nuri Ucan

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Image Classification ◽

Ultrasound Image

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A novel approach with dual-sampling convolutional neural network for ultrasound image classification of breast tumors

Physics in Medicine and Biology ◽

10.1088/1361-6560/abc5c7 ◽

2020 ◽

Vol 65 (24) ◽

pp. 245001

Author(s):

Jiang Xie ◽

Xiangshuai Song ◽

Wu Zhang ◽

Qi Dong ◽

Yan Wang ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Image Classification ◽

Ultrasound Image ◽

Breast Tumors ◽

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Breast Ultrasound Image Classification Using a Pre-Trained Convolutional Neural Network

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) ◽

10.1109/sitis.2019.00037 ◽

2019 ◽

Author(s):

Mohammad I. Daoud ◽

Samir Abdel-Rahman ◽

Rami Alazrai

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Image Classification ◽

Ultrasound Image ◽

Breast Ultrasound

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Thyroid ultrasound image classification using a convolutional neural network

Annals of Translational Medicine ◽

10.21037/atm-21-4328 ◽

2021 ◽

Vol 0 (0) ◽

pp. 0-0

Author(s):

Yi-Cheng Zhu ◽

Peng-Fei Jin ◽

Jie Bao ◽

Quan Jiang ◽

Ximing Wang

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Image Classification ◽

Ultrasound Image ◽

Thyroid Ultrasound

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Fused Random Pooling in Convolutional Neural Network for Herbal Plants Image Classification

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2019/87862019 ◽

2019 ◽

Vol 8 (6) ◽

pp. 3208-3214

Author(s):

Ian Val P. Delos Reyes ◽

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Image Classification ◽

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Improving Convolutional Neural Network (CNN) Architecture (miniVGGNet) with Batch Normalization and Learning Rate Decay Factor for Image Classification

International Journal of Integrated Engineering ◽

10.30880/ijie.2019.11.04.006 ◽

2019 ◽

Vol 11 (4) ◽

Author(s):

Asmida Ismail ◽

◽

Siti Anom Ahmad ◽

Azura Che Soh ◽

Khair Hassan ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Image Classification ◽

Learning Rate ◽

Decay Factor ◽

Batch Normalization ◽

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Image Classification Method Based on Supplement Convolutional Neural Network

Journal of Computer-Aided Design & Computer Graphics ◽

10.3724/sp.j.1089.2018.16322 ◽

2018 ◽

Vol 30 (3) ◽

pp. 385 ◽

Author(s):

Qiang Wang ◽

Xiaojie Li ◽

Jun Chen

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Image Classification ◽

Classification Method

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Accelerating Convolutional Neural Network-Based Hyperspectral Image Classification by Step Activation Quantization

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3058321 ◽

2021 ◽

pp. 1-12

Author(s):

Shaohui Mei ◽

Xiaofeng Chen ◽

Yifan Zhang ◽

Jun Li ◽

Antonio Plaza

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification

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An Xception Based Convolutional Neural Network for Scene Image Classification with Transfer Learning

2020 2nd International Conference on Information Technology and Computer Application (ITCA) ◽

10.1109/itca52113.2020.00063 ◽

2020 ◽

Author(s):

Xizhi Wu ◽

Rongzhe Liu ◽

Hanqing Yang ◽

Zizhao Chen

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Image Classification ◽

Transfer Learning ◽

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An Automated Model using Deep Convolutional Neural Network for Retinal Image Classification to Detect Diabetic Retinopathy

Proceedings of the International Conference on Computing Advancements ◽

10.1145/3377049.3377067 ◽

2020 ◽

Author(s):

Md Sazzad Hossen ◽

Alim Ahmed Reza ◽

Mahbub C. Mishu

Keyword(s):

Neural Network ◽

Diabetic Retinopathy ◽

Convolutional Neural Network ◽

Image Classification ◽

Retinal Image ◽

Deep Convolutional Neural Network

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Diagnostic Accuracies of Laryngeal Diseases Using a Convolutional Neural Network‐Based Image Classification System

The Laryngoscope ◽

10.1002/lary.29595 ◽

2021 ◽

Author(s):

Won Ki Cho ◽

Yeong Ju Lee ◽

Hye Ah Joo ◽

In Seong Jeong ◽

Yeonjoo Choi ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Image Classification ◽

Classification System ◽

Laryngeal Diseases

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