Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
Artificial intelligence (AI) and computer vision (CV) methods become reliable to extract
features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests …
features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests …
Healthcare predictive analytics using machine learning and deep learning techniques: a survey
Healthcare prediction has been a significant factor in saving lives in recent years. In the
domain of health care, there is a rapid development of intelligent systems for analyzing …
domain of health care, there is a rapid development of intelligent systems for analyzing …
Covid-19 detection in ct/x-ray imagery using vision transformers
The steady spread of the 2019 Coronavirus disease has brought about human and
economic losses, imposing a new lifestyle across the world. On this point, medical imaging …
economic losses, imposing a new lifestyle across the world. On this point, medical imaging …
Contrasting EfficientNet, ViT, and gMLP for COVID-19 detection in ultrasound imagery
A timely diagnosis of coronavirus is critical in order to control the spread of the virus. To aid
in this, we propose in this paper a deep learning-based approach for detecting coronavirus …
in this, we propose in this paper a deep learning-based approach for detecting coronavirus …
Application of machine learning and deep learning techniques for Covid-19 screening using radiological imaging: a comprehensive review
Lung, being one of the most important organs in human body, is often affected by various
SARS diseases, among which COVID-19 has been found to be the most fatal disease in …
SARS diseases, among which COVID-19 has been found to be the most fatal disease in …
[PDF][PDF] Detection of COVID-19 Using Deep Learning on X-Ray Images.
M Alotaibi, B Alotaibi - Intelligent Automation & Soft Computing, 2021 - cdn.techscience.cn
The novel coronavirus 2019 (COVID-19) is one of a large family of viruses that cause illness,
the symptoms of which range from a common cold, fever, coughing, and shortness of breath …
the symptoms of which range from a common cold, fever, coughing, and shortness of breath …
[PDF][PDF] Scaled Dilation of DropBlock Optimization in Convolutional Neural Network for Fungus Classification.
A Prommakhot, J Srinonchat - Computers, Materials & Continua, 2022 - cdn.techscience.cn
Image classification always has open challenges for computer vision research. Nowadays,
deep learning has promoted the development of this field, especially in Convolutional …
deep learning has promoted the development of this field, especially in Convolutional …
A Survey on Deep Learning Techniques for Predictive Analytics in Healthcare
Healthcare data is growing at more than 50% annually, making it one of the most rapidly
expanding data in the digital world. Clinical problem-solving is a difficult skill that doctors …
expanding data in the digital world. Clinical problem-solving is a difficult skill that doctors …
[PDF][PDF] 面向CT 图像新冠肺炎识别的密集重参轻量化Transformer 模型
周涛， 叶鑫宇， 刘凤珍， 陆惠玲， 周敬策， 杜玉虎 - 电子与信息学报, 2023 - jeit.ac.cn
新冠(COVID-19) 肺炎严重威胁人类健康, 基于深度学习的计算机辅助诊断方法能有效提高新冠
肺炎的诊断效率. 但是深度学习模型结构复杂, 参数量和计算量大, 在保持模型性能的前提下提高 …
肺炎的诊断效率. 但是深度学习模型结构复杂, 参数量和计算量大, 在保持模型性能的前提下提高 …
[Retracted] Deep Learning‐Based Cervical Spine Posterior Percutaneous Endoscopic Disc Nucleus Resection for the Treatment of Cervical Spondylotic …
Y Zhang, H Zhu, Z Zhou, Y Sun, X Shen… - Journal of Healthcare …, 2021 - Wiley Online Library
In the past 10 years, the technology of percutaneous spine endoscopy has been
continuously developed. The indications have expanded from simple lumbar disc herniation …
continuously developed. The indications have expanded from simple lumbar disc herniation …