Medical image annotation and classification employing pyramidal feature specific lightweight deep convolution neural network-Reference-Cited by-同舟云学术

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Medical image annotation and classification employing pyramidal feature specific lightweight deep convolution neural network

Published:2023-02-20 Issue:5 Volume:11 Page:1678-1689
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:

Jeyaraj Pandia Rajan¹,Nadar Edward Rajan Samuel¹

Affiliation:

1. Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi, India

Funder

Indian National Science Academy

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2179341

Reference55 articles.

1. Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods

2. Identification and diagnosis of whole body and fragments of Trogoderma granarium and Trogoderma variabile using visible near infrared hyperspectral imaging technique coupled with deep learning

3. Combining Artificial Intelligence and Image Processing for Diagnosing Diabetic Retinopathy in Retinal Fundus Images

4. Geometrical-based approach for robust human image detection

5. Automated Pedestrian Recognition Based on Deep Convolutional Neural Networks

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2. KD_ConvNeXt: knowledge distillation-based image classification of lung tumor surgical specimen sections;Frontiers in Genetics;2023-09-18

3. Low-Sample Image Classification Based on Intrinsic Consistency Loss and Uncertainty Weighting Method;IEEE Access;2023

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