113 citations · 359 across the 7 of their papers we have counts for
7 papers
Wound Severity Classification using Deep Neural Network
D. M. Anisuzzaman, Yash Patel, Jeffrey Niezgoda +2
The classification of wound severity is a critical step in wound diagnosis. An effective classifier can help wound professionals categorize wound conditions more quickly and afford…
Multi-modal Wound Classification using Wound Image and Location by Deep Neural Network
D. M. Anisuzzaman, Yash Patel, Behrouz Rostami +3
Wound classification is an essential step of wound diagnosis. An efficient classifier can assist wound specialists in classifying wound types with less financial and time costs and…
Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks
Farnaz H. Foomani, D. M. Anisuzzaman, Jeffrey Niezgoda +4
Wound prognostic models not only provide an estimate of wound healing time to motivate patients to follow up their treatments but also can help clinicians to decide whether to use…
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…