17 citations · 49 across the 12 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net
Chuanbo Wang, Ye Guo, Wei Chen +1
Intervertebral discs (IVDs), as small joints lying between adjacent vertebrae, have played an important role in pressure buffering and tissue protection. The fully-automatic locali…