CNN-RSVM: a hybrid approach for classification of poikilocytosis using convolutional neural network and radial kernel basis support vector machine-Reference-Cited by-同舟云学术

CNN-RSVM: a hybrid approach for classification of poikilocytosis using convolutional neural network and radial kernel basis support vector machine

Published:2023-06-12 Issue:6 Volume:11 Page:2118-2129
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Dhar Prasenjit¹,Suganya Devi K¹,Srinivasan P²

Affiliation:

1. Medical Imaging Laboratory, Computer Science and Engineering Department, National Institute of Technology Silchar, Assam, India

2. Department of Physics, National Institute of Technology Silchar, Assam, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2219755

Reference24 articles.

1. A deep convolutional extreme machine learning classification method to detect bone cancer from histopathological images;Anand D;International Journal Of Intelligent Systems And Applications In Engineering,2022

2. Deep learning in medical imaging and radiation therapy

3. Segmentation of ultrasound image sequences by combing a novel deep siamese network with a deformable contour model;Bo N;Neural Comput Appl,2022

4. Diagnosis of Dermoscopy Images for the Detection of Skin Lesions Using SVM and KNN

5. Healthy and unhealthy red blood cell detection in human blood smears using neural networks

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