113 citations · 631 across the 32 of their papers we have counts for
32 papers
Breast Cell Segmentation Under Extreme Data Constraints: Quantum Enhancement Meets Adaptive Loss Stabilization
Varun Kumar Dasoju, Qingsu Cheng, Zeyun Yu
Annotating medical images demands significant time and expertise, often requiring pathologists to invest hundreds of hours in labeling mammary epithelial nuclei datasets. We addres…
Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach
Yash Patel, Tirth Shah, Mrinal Kanti Dhar +4
The global burden of acute and chronic wounds presents a compelling case for enhancing wound classification methods, a vital step in diagnosing and determining optimal treatments.…
FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation
Mrinal Kanti Dhar, Taiyu Zhang, Yash Patel +2
This paper presents FUSegNet, a new model for foot ulcer segmentation in diabetes patients, which uses the pre-trained EfficientNet-b7 as a backbone to address the issue of limited…
MultiNet with Transformers: A Model for Cancer Diagnosis Using Images
Hosein Barzekar, Yash Patel, Ling Tong +1
Cancer is a leading cause of death in many countries. An early diagnosis of cancer based on biomedical imaging ensures effective treatment and a better prognosis. However, biomedic…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
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…
S-R2F2U-Net: A single-stage model for teeth segmentation
Mrinal Kanti Dhar, Mou Deb
Precision tooth segmentation is crucial in the oral sector because it provides location information for orthodontic therapy, clinical diagnosis, and surgical treatments. In this pa…
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…
Automatic tracing of mandibular canal pathways using deep learning
Mrinal Kanti Dhar, Zeyun Yu
There is an increasing demand in medical industries to have automated systems for detection and localization which are manually inefficient otherwise. In dentistry, it bears great…
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…
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…
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…
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…
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…
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…
An Application of Manifold Learning in Global Shape Descriptors
Fereshteh S. Bashiri, Reihaneh Rostami, Peggy Peissig +2
With the rapid expansion of applied 3D computational vision, shape descriptors have become increasingly important for a wide variety of applications and objects from molecules to p…
Porous Structure Design in Tissue Engineering Using Anisotropic Radial Basis Function
Ke Liu, Ye Guo, Zeyun Yu
Development of additive manufacturing in last decade greatly improves tissue engineering. During the manufacturing of porous scaffold, simplified but functionally equivalent models…
siftservice.com - Turning a Computer Vision algorithm into a World Wide Web Service
Ahmad Pahlavan Tafti, Hamid Hassannia, Zeyun Yu
Image features detection and description is a longstanding topic in computer vision and pattern recognition areas. The Scale Invariant Feature Transform (SIFT) is probably the most…
Application of Independent Component Analysis Techniques in Speckle Noise Reduction of Retinal OCT Images
Ahmadreza Baghaie, Roshan M. D'souza, Zeyun Yu
Optical Coherence Tomography (OCT) is an emerging technique in the field of biomedical imaging, with applications in ophthalmology, dermatology, coronary imaging etc. OCT images us…
State-of-the-Art in Retinal Optical Coherence Tomography Image Analysis
Ahmadreza Baghaie, Roshan M. D'souza, Zeyun Yu
Optical Coherence Tomography (OCT) is one of the most emerging imaging modalities that has been used widely in the field of biomedical imaging. From its emergence in 1990's, plenty…