2 citations · 8 across the 14 of their papers we have counts for
6 papers · 1 filter
AutoML Systems For Medical Imaging
Tasmia Tahmida Jidney, Angona Biswas, MD Abdullah Al Nasim +5
The integration of machine learning in medical image analysis can greatly enhance the quality of healthcare provided by physicians. The combination of human expertise and computeri…
Case Studies on X-Ray Imaging, MRI and Nuclear Imaging
Shuvra Sarker, Angona Biswas, MD Abdullah Al Nasim +3
The field of medical imaging is an essential aspect of the medical sciences, involving various forms of radiation to capture images of the internal tissues and organs of the body.…
Introduction to Medical Imaging Informatics
Md. Zihad Bin Jahangir, Ruksat Hossain, Riadul Islam +4
Medical imaging informatics is a rapidly growing field that combines the principles of medical imaging and informatics to improve the acquisition, management, and interpretation of…
Online learning for X-ray, CT or MRI
Mosabbir Bhuiyan, MD Abdullah Al Nasim, Sarwar Saif +3
Medical imaging plays an important role in the medical sector in identifying diseases. X-ray, computed tomography (CT) scans, and magnetic resonance imaging (MRI) are a few example…
Generative Adversarial Networks for Data Augmentation
Angona Biswas, MD Abdullah Al Nasim, Al Imran +4
One way to expand the available dataset for training AI models in the medical field is through the use of Generative Adversarial Networks (GANs) for data augmentation. GANs work by…
Active Learning on Medical Image
Angona Biswas, MD Abdullah Al Nasim, Md Shahin Ali +3
The development of medical science greatly depends on the increased utilization of machine learning algorithms. By incorporating machine learning, the medical imaging field can sig…