Myositis Detection From Muscle Ultrasound Images Using a Proposed YOLO-CSE Model-Reference-Cited by-同舟云学术

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Myositis Detection From Muscle Ultrasound Images Using a Proposed YOLO-CSE Model

Published:2023 Issue: Volume:11 Page:107533-107547
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ahmed Alaa Hussein¹^ORCID,Youssef Sherin M.²,Ghatwary Noha²^ORCID,Ahmed Magdy A.³

Affiliation:

1. Computer Engineering Department, Pharos University in Alexandria, Alexandria, Egypt

2. Computer Engineering Department, Arab Academy for Science and Technology, Alexandria, Egypt

3. Department of Computer Engineering and Systems, Faculty of Engineering, Alexandria University, Alexandria, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10267918.pdf?arnumber=10267918

Reference42 articles.

1. Computer‐aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks

2. Brain cancer segmentation using YOLOv5 deep neural network;paul;arXiv 2212 13599,2022

3. Deep Learning in Medical Ultrasound Analysis: A Review

4. Automatic detection of stroke lesion from diffusion-weighted imaging via the improved YOLOv5

5. Small Object Detection via Pixel Level Balancing With Applications to Blood Cell Detection

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MGB-Unet: An Improved Multiscale Unet with Bottleneck Transformer for Myositis Segmentation from Ultrasound Images;Journal of Imaging Informatics in Medicine;2024-07-22

2. MyoRCB-CAM-Seg: A New Supervised Segmentation Mechanism for Diagnosis of Myositis medical ultrasound images Integrating new Modified Convolutional Residual Blocks and Convolutional Attention Mechanism;2024 International Conference on Machine Intelligence and Smart Innovation (ICMISI);2024-05-12

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