11 citations · 18 across the 6 of their papers we have counts for
4 papers · 1 filter
MSA-DCNN: A Data-Efficient Multi-Scale Attention Deformable CNN for Medical Image Classification
Hamza Hussaini, Shahana Bano, Eyad Elyan +1
Existing deep learning methods perform well in medical image classification but struggle with multi-scale morphology and limited annotations due to fixed sampling and data-hungry t…
Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos
Rezowan Shuvo, M S Mekala, Eyad Elyan
Understanding actions within surgical workflows is critical for evaluating post-operative outcomes and enhancing surgical training and efficiency. Capturing and analyzing long sequ…
Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies
Md Junayed Hasan, Eyad Elyan, Yijun Yan +2
Retrofitting and thermographic survey (TS) companies in Scotland collaborate with social housing providers to tackle fuel poverty. They employ ground-level infrared (IR) camera-bas…
Two layer Ensemble of Deep Learning Models for Medical Image Segmentation
Truong Dang, Tien Thanh Nguyen, John McCall +2
In recent years, deep learning has rapidly become a method of choice for the segmentation of medical images. Deep Neural Network (DNN) architectures such as UNet have achieved stat…