4 papers
ReFRM3D: A Radiomics-enhanced Fused Residual Multiparametric 3D Network with Multi-Scale Feature Fusion for Glioma Characterization
Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Md Noman Hossain +4
Gliomas are among the most aggressive cancers, with complex diagnostic processes. Existing glioma segmentation methods often struggle with high variability in imaging data and inad…
Improving ICD coding using Chapter based Named Entities and Attentional Models
Abhijith R. Beeravolu, Mirjam Jonkman, Sami Azam +1
Recent advancements in natural language processing (NLP) have led to automation in various domains. However, clinical NLP often relies on benchmark datasets that may not reflect re…
Methods to Measure the Broncho-Arterial Ratio and Wall Thickness in the Right Lower Lobe for Defining Radiographic Reversibility of Bronchiectasis
Abhijith R. Beeravolu, Ian Brent Masters, Mirjam Jonkman +9
The diagnosis of bronchiectasis requires measuring abnormal bronchial dilation. It is confirmed using a chest CT scan, where the key feature is an increased broncho-arterial ratio…
Feature Extraction Using Deep Generative Models for Bangla Text Classification on a New Comprehensive Dataset
Md. Rafi-Ur-Rashid, Sami Azam, Mirjam Jonkman
The selection of features for text classification is a fundamental task in text mining and information retrieval. Despite being the sixth most widely spoken language in the world,…