2D Self-Organized ONN Model For Handwritten Text Recognition

no code implementations • 17 Jul 2022 • Hanadi Hassen Mohammed, Junaid Malik, Somaya Al-Madeed, Serkan Kiranyaz

With their heterogeneous network structure incorporating non-linear neurons, Operational Neural Networks (ONNs) have recently been proposed to address this drawback.

Handwritten Text Recognition HTR

COVID-19 Infection Localization and Severity Grading from Chest X-ray Images

no code implementations • 14 Mar 2021 • Anas M. Tahir, Muhammad E. H. Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz, Nabil Ibtehaz, M Shohel Rahman, Somaya Al-Madeed, Khaled Hameed, Tahir Hamid, Sakib Mahmud, Maymouna Ezeddin

In this study, we address this urgent need by proposing a systematic and unified approach for lung segmentation and COVID-19 localization with infection quantification from CXR images.

Segmentation Specificity

Detection and severity classification of COVID-19 in CT images using deep learning

no code implementations • 15 Feb 2021 • Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury, Amith Khandakar, Serkan Kiranyaz, Tawsifur Rahman, Nabil Ibtehaz, Sakib Mahmud, Somaya Al-Madeed, Farayi Musharavati

Furthermore, the proposed system achieved an elegant performance for COVID-19 infection segmentation with a DSC of 94. 13% and IoU of 91. 85% using the FPN model with the DenseNet201 encoder.

Computed Tomography (CT) General Classification +1

An early warning tool for predicting mortality risk of COVID-19 patients using machine learning

no code implementations • 29 Jul 2020 • Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad T. Islam

The prognostic model, nomogram and LNLCA score can help in early detection of high mortality risk of COVID-19 patients, which will help doctors to improve the management of patient stratification.

BIG-bench Machine Learning Management