9 citations · 9 across the 6 of their papers we have counts for
4 papers · 1 filter
GastroViT: A Vision Transformer Based Ensemble Learning Approach for Gastrointestinal Disease Classification with Grad CAM & SHAP Visualization
Sumaiya Tabassum, Md. Faysal Ahamed, Hafsa Binte Kibria +4
The gastrointestinal (GI) tract of humans can have a wide variety of aberrant mucosal abnormality findings, ranging from mild irritations to extremely fatal illnesses. Prompt ident…
Outlier Detection in Large Radiological Datasets using UMAP
Mohammad Tariqul Islam, Jason W. Fleischer
The success of machine learning algorithms heavily relies on the quality of samples and the accuracy of their corresponding labels. However, building and maintaining large, high-qu…
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images
Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey +8
The use of computer-aided diagnosis in the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandem…
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-Ray Images
Anas Tahir, Yazan Qiblawey, Amith Khandakar +6
Novel Coronavirus disease (COVID-19) is an extremely contagious and quickly spreading Coronavirus infestation. Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory…