113 citations · 359 across the 7 of their papers we have counts for
4 papers · 1 filter
A Deep Learning Study on Osteosarcoma Detection from Histological Images
D M Anisuzzaman, Hosein Barzekar, Ling Tong +2
In the U.S, 5-10\% of new pediatric cases of cancer are primary bone tumors. The most common type of primary malignant bone tumor is osteosarcoma. The intention of the present work…
Multiclass Wound Image Classification using an Ensemble Deep CNN-based Classifier
Behrouz Rostami, D. M. Anisuzzaman, Chuanbo Wang +3
Acute and chronic wounds are a challenge to healthcare systems around the world and affect many people's lives annually. Wound classification is a key step in wound diagnosis that…
Image Based Artificial Intelligence in Wound Assessment: A Systematic Review
D. M. Anisuzzaman, Chuanbo Wang, Behrouz Rostami +3
Efficient and effective assessment of acute and chronic wounds can help wound care teams in clinical practice to greatly improve wound diagnosis, optimize treatment plans, ease the…
A Mobile App for Wound Localization using Deep Learning
D. M. Anisuzzaman, Yash Patel, Jeffrey Niezgoda +2
We present an automated wound localizer from 2D wound and ulcer images by using deep neural network, as the first step towards building an automated and complete wound diagnostic s…