A5060637284- Poxvirus research and outbreaks
- COVID-19 diagnosis using AI
- Phonocardiography and Auscultation Techniques
- Bacillus and Francisella bacterial research
- Image Processing Techniques and Applications
- Genetics, Bioinformatics, and Biomedical Research
- Artificial Intelligence in Healthcare and Education
- vaccines and immunoinformatics approaches
- Virus-based gene therapy research
- AI in cancer detection
- Artificial Intelligence in Healthcare
- Radiomics and Machine Learning in Medical Imaging
Dhaka Medical College and Hospital
2021-2023
Chest radiographs (X-rays) combined with Deep Convolutional Neural Network (CNN) methods have been demonstrated to detect and diagnose the onset of COVID-19, disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). However, questions remain regarding accuracy those as they are often challenged limited datasets, performance legitimacy on imbalanced data, their results typically reported without proper confidence intervals. Considering opportunity address these issues,...
While the world is still attempting to recover from damage caused by broad spread of COVID-19, Monkeypox virus poses a new threat becoming global pandemic. Although itself not deadly and contagious as every day, patients case has been reported many nations. Therefore, it will be no surprise if ever faces another pandemic due lack proper precautious steps. Recently, Machine learning (ML) demonstrated huge potential in image-based diagnoses such cancer detection, tumor cell identification,...
This paper explains the initial Monkeypox Open image data collection procedure. It was created by assembling images collected from websites, newspapers, and online portals currently contains around 1905 after augmentation.