Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization

no code implementations • 29 Jul 2020 • Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker R. Islam, Khandaker F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad T. Islam, Zaid B. Mahbub, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury

The accuracy, precision, sensitivity, F1-score, specificity in the detection of tuberculosis using X-ray images were 97. 07 %, 97. 34 %, 97. 07 %, 97. 14 % and 97. 36 % respectively.

Classification Data Augmentation +5

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

Cloud Motion as a Calibration Cue

no code implementations • CVPR 2013 • Nathan Jacobs, Mohammad T. Islam, Scott Workman

We propose cloud motion as a natural scene cue that enables geometric calibration of static outdoor cameras.