z-logo
open-access-imgOpen Access
Malaria Parasite Detection Using a Quantum-Convolutional Network
Author(s) -
Javeria Amin,
Muhammad Almas Anjum,
Abida Sharif,
Mudassar Raza,
Seifedine Kadry,
Yunyoung Nam
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - Uncategorized
Resource type - Journals
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2022.019115
Subject(s) - softmax function , pattern recognition (psychology) , artificial intelligence , computer science , malaria , feature (linguistics) , thresholding , convolutional neural network , segmentation , feature extraction , ycbcr , hsl and hsv , histogram , rgb color model , image processing , image (mathematics) , color image , biology , pathology , virology , medicine , linguistics , philosophy , virus

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom