85 citations · 717 across the 71 of their papers we have counts for
74 papers
MedLiteNet: Lightweight Hybrid Medical Image Segmentation Model
Pengyang Yu, Haoquan Wang, Gerard Marks +4
Accurate skin-lesion segmentation remains a key technical challenge for computer-aided diagnosis of skin cancer. Convolutional neural networks, while effective, are constrained by…
Machine Learning for Dynamic Management Zone in Smart Farming
Chamil Kulatunga, Sahraoui Dhelim, Tahar Kechadi
Digital agriculture is growing in popularity among professionals and brings together new opportunities along with pervasive use of modern data-driven technologies. Digital agricult…
Using recurrent neural networks to predict aspects of 3-D structure of folded copolymer sequences
R. G. Reilly, M. -T. Kechadi, Yu. A. Kuznetsov +2
The neural network techniques are developed for artificial sequences based on approximate models of proteins. We only encode the hydrophobicity of the amino acid side chains withou…
Healthcare Data Governance, Privacy, and Security -- A Conceptual Framework
Amen Faridoon, M. Tahar Kechadi
The abundance of data has transformed the world in every aspect. It has become the core element in decision making, problem solving, and innovation in almost all areas of life, inc…
Machine Learning-based Nutrient Application's Timeline Recommendation for Smart Agriculture: A Large-Scale Data Mining Approach
Usama Ikhlaq, Tahar Kechadi
This study addresses the vital role of data analytics in monitoring fertiliser applications in crop cultivation. Inaccurate fertiliser application decisions can lead to costly cons…
IP-UNet: Intensity Projection UNet Architecture for 3D Medical Volume Segmentation
Nyothiri Aung, Tahar Kechadi, Liming Chen +1
CNNs have been widely applied for medical image analysis. However, limited memory capacity is one of the most common drawbacks of processing high-resolution 3D volumetric data. 3D…