SecureFed: federated learning empowered medical imaging technique to analyze lung abnormalities in chest X-rays
A Makkar, KC Santosh - International Journal of Machine Learning and …, 2023 - Springer
Abstract Machine learning is an effective and accurate technique to diagnose COVID-19
infections using image data, and chest X-Ray (CXR) is no exception. Considering privacy …
infections using image data, and chest X-Ray (CXR) is no exception. Considering privacy …
CovidViT: a novel neural network with self-attention mechanism to detect Covid-19 through X-ray images
H Yang, L Wang, Y Xu, X Liu - International Journal of Machine Learning …, 2023 - Springer
Since the emergence of the novel coronavirus in December 2019, it has rapidly swept
across the globe, with a huge impact on daily life, public health and the economy around the …
across the globe, with a huge impact on daily life, public health and the economy around the …
Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
MAA Al-qaness, J Zhu, D AL-Alimi, A Dahou… - … Methods in Engineering, 2024 - Springer
In medical imaging, the last decade has witnessed a remarkable increase in the availability
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …
[HTML][HTML] Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture
In recent years, coronavirus (Covid-19) has evolved into one of the world's leading life-
threatening severe viral illnesses. A self-executing accord system might be a better option to …
threatening severe viral illnesses. A self-executing accord system might be a better option to …
[PDF][PDF] Deep learning in agriculture: a review
P Bharman, SA Saad, S Khan, I Jahan… - Asian Journal of …, 2022 - researchgate.net
Deep learning (DL) is a kind of sophisticated data analysis and image processing
technology, with good results and great potential. DL has been applied to many different …
technology, with good results and great potential. DL has been applied to many different …
A novel multi-task learning network based on melanoma segmentation and classification with skin lesion images
Melanoma is known worldwide as a malignant tumor and the fastest-growing skin cancer
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …
An efficient lung disease classification from X-ray images using hybrid Mask-RCNN and BiDLSTM
V Indumathi, R Siva - Biomedical Signal Processing and Control, 2023 - Elsevier
Lung diseases mainly affect the inner lining of the lungs causing complications in breathing,
airway obstruction, and exhalation. Identifying lung diseases such as COVID-19 …
airway obstruction, and exhalation. Identifying lung diseases such as COVID-19 …
Detection of sarcopenia using deep learning-based artificial intelligence body part measure system (AIBMS)
Background: Sarcopenia is an aging syndrome that increases the risks of various adverse
outcomes, including falls, fractures, physical disability, and death. Sarcopenia can be …
outcomes, including falls, fractures, physical disability, and death. Sarcopenia can be …
An efficient deep neural network framework for COVID-19 lung infection segmentation
G Jin, C Liu, X Chen - Information Sciences, 2022 - Elsevier
Since the outbreak of Coronavirus Disease 2019 (COVID-19) in 2020, it has significantly
affected the global health system. The use of deep learning technology to automatically …
affected the global health system. The use of deep learning technology to automatically …
Mobapp4infectiousdisease: Classify covid-19, pneumonia, and tuberculosis
Illness due to infectious diseases has been always a global threat. Millions of people die per
year due to COVID-19, pneumonia, and Tuberculosis (TB) as all of them infect the lungs. For …
year due to COVID-19, pneumonia, and Tuberculosis (TB) as all of them infect the lungs. For …