8 citations · 18 across the 6 of their papers we have counts for
9 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…
FUSeg: The Foot Ulcer Segmentation Challenge
Chuanbo Wang, Amirreza Mahbod, Isabella Ellinger +4
Acute and chronic wounds with varying etiologies burden the healthcare systems economically. The advanced wound care market is estimated to reach $22 billion by 2024. Wound care pr…
Multiclass Burn Wound Image Classification Using Deep Convolutional Neural Networks
Behrouz Rostami, Jeffrey Niezgoda, Sandeep Gopalakrishnan +1
Millions of people are affected by acute and chronic wounds yearly across the world. Continuous wound monitoring is important for wound specialists to allow more accurate diagnosis…
C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification
Hosein Barzekar, Zeyun Yu
Cancers are the leading cause of death in many countries. Early diagnosis plays a crucial role in having proper treatment for this debilitating disease. The automated classificatio…
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…
Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks
Chuanbo Wang, DM Anisuzzaman, Victor Williamson +5
Acute and chronic wounds have varying etiologies and are an economic burden to healthcare systems around the world. The advanced wound care market is expected to exceed $22 billion…