Open AccessAnalysis of Axial CT-Scan image of COVID-19 patients based in gender using the Otsu Thresholding method
Author(s) -
Melany Puspa Damayanti,
Heni Sumarti
Publication year - 2020
Publication title -
journal of natural sciences and mathematics research/journal of natural sciences and mathematics research
Language(s) - English
Resource type - Journals
eISSN - 2614-6487
pISSN - 2460-4453
DOI - 10.21580/jnsmr.2020.6.1.11152
Subject(s) - thresholding , covid-19 , segmentation , otsu's method , false positive paradox , artificial intelligence , medicine , image segmentation , radiology , image (mathematics) , computer science , disease , infectious disease (medical specialty)