5 papers
Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset
Nivea Roy, Son Tran, Atul Sajjanhar +4
Laryngeal cancer imaging research lacks standardised public datasets to enable reproducible deep learning (DL) model development. We present LaryngealCT, a curated benchmark of 1,0…
DualGate-Net: A Prior-Gated Dual-Encoder Framework for Histopathology Cell Detection
Bahman Jafari Tabaghsar, Son Tran, K. Devaraja +1
Cell detection in histopathology images strongly depends on surrounding tissue context, where visually similar cells may belong to different classes under different microenvironmen…
Noise-Aware Visual Representation Learning for Medical Visual Question Answering
I Putu Adi Pratama, Bahadorreza Ofoghi, Atul Sajjanhar +1
Medical visual question answering (Med-VQA) has strong potential for clinical decision support by enabling AI models to interpret medical images and answer clinically relevant quer…
Window-Based Feature Engineering for Cognitive Workload Detection
Andrew Hallam, R G Gayathri, Glory Lee +1
Cognitive workload is a topic of increasing interest across various fields such as health, psychology, and defense applications. In this research, we focus on classifying cognitive…
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning
Jun Bai, Yiliao Song, Di Wu +6
One-Shot Federated Learning (OSFL) restricts communication between the server and clients to a single round, significantly reducing communication costs and minimizing privacy leaka…