6 citations · 15 across the 10 of their papers we have counts for
4 papers · 1 filter
Deep Learning for Automated Wound Classification And Segmentation
Md. Zihad Bin Jahangir, Sumaiya Akter, MD Abdullah Al Nasim +2
Wounds, such as foot ulcers, pressure ulcers, leg ulcers, and infected wounds, come up with substantial problems for healthcare professionals. Prompt and accurate segmentation is c…
Invariant Scattering Transform for Medical Imaging
Nafisa Labiba Ishrat Huda, Angona Biswas, MD Abdullah Al Nasim +2
Invariant scattering transform introduces new area of research that merges the signal processing with deep learning for computer vision. Nowadays, Deep Learning algorithms are able…
Introduction of Medical Imaging Modalities
S. K. M Shadekul Islam, MD Abdullah Al Nasim, Ismail Hossain +3
The diagnosis and treatment of various diseases had been expedited with the help of medical imaging. Different medical imaging modalities, including X-ray, Computed Tomography (CT)…
Brain Tumor Segmentation using Enhanced U-Net Model with Empirical Analysis
MD Abdullah Al Nasim, Abdullah Al Munem, Maksuda Islam +3
Cancer of the brain is deadly and requires careful surgical segmentation. The brain tumors were segmented using U-Net using a Convolutional Neural Network (CNN). When looking for o…