Fused weighted federated deep extreme machine learning based on intelligent lung cancer disease prediction model for healthcare 5.0
In the era of advancement in information technology and the smart healthcare industry 5.0,
the diagnosis of human diseases is still a challenging task. The accurate prediction of …
the diagnosis of human diseases is still a challenging task. The accurate prediction of …
[HTML][HTML] IoMT-based osteosarcoma cancer detection in histopathology images using transfer learning empowered with blockchain, fog computing, and edge …
Bone tumors, such as osteosarcomas, can occur anywhere in the bones, though they
usually occur in the extremities of long bones near metaphyseal growth plates …
usually occur in the extremities of long bones near metaphyseal growth plates …
Smartphone Security Hardening: Threats to Organizational Security and Risk Mitigation
This article aims to identify some of the most significant security risks an organization may
face if it does not consider the inherent risks associated with personal devices in the …
face if it does not consider the inherent risks associated with personal devices in the …
ECG classification for detecting ECG arrhythmia empowered with deep learning approaches
According to the World Health Organization (WHO) report, heart disease is spreading
throughout the world very rapidly and the situation is becoming alarming in people aged 40 …
throughout the world very rapidly and the situation is becoming alarming in people aged 40 …
B2-Net: an artificial intelligence powered machine learning framework for the classification of pneumonia in chest x-ray images
KM Abubeker, S Baskar - Machine Learning: Science and …, 2023 - iopscience.iop.org
A chest x-ray radiograph is still the global standard for diagnosing pneumonia and helps
distinguish between bacterial and viral pneumonia. Despite several studies, radiologists and …
distinguish between bacterial and viral pneumonia. Despite several studies, radiologists and …
[HTML][HTML] An explainable classification method based on complex scaling in histopathology images for lung and colon cancer
Lung and colon cancers are among the leading causes of human mortality and morbidity.
Early diagnostic work up of these diseases include radiography, ultrasound, magnetic …
Early diagnostic work up of these diseases include radiography, ultrasound, magnetic …
Development and validation of embedded device for electrocardiogram arrhythmia empowered with transfer learning
With the emergence of the Internet of Things (IoT), investigation of different diseases in
healthcare improved, and cloud computing helped to centralize the data and to access …
healthcare improved, and cloud computing helped to centralize the data and to access …
Machine learning in computational histopathology: Challenges and opportunities
Digital histopathological images, high‐resolution images of stained tissue samples, are a
vital tool for clinicians to diagnose and stage cancers. The visual analysis of patient state …
vital tool for clinicians to diagnose and stage cancers. The visual analysis of patient state …
[HTML][HTML] Histopathological Analysis for Detecting Lung and Colon Cancer Malignancies Using Hybrid Systems with Fused Features
Lung and colon cancer are among humanity's most common and deadly cancers. In 2020,
there were 4.19 million people diagnosed with lung and colon cancer, and more than 2.7 …
there were 4.19 million people diagnosed with lung and colon cancer, and more than 2.7 …
Improving Pneumonia Detection in chest X-rays using Transfer Learning Approach (AlexNet) and Adversarial Training
The method outlined in this paper employs transfer learning and adversarial training to
enhance the precision of pneumonia identification in chest X-rays. The authors use the …
enhance the precision of pneumonia identification in chest X-rays. The authors use the …