Open AccessAssessing Deep Learning Techniques for the Recognition of Tropical Disease in Images from Parasitological Exams
Author(s) -
Ammar Akram Abdulrazzaq,
Asaad T. Al-Douri,
Àbdulsattar Abdullah Hamad,
Mustafa Musa Jaber,
Zelalem Meraf
Publication year - 2022
Publication title -
bioinorganic chemistry and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.865
H-Index - 35
eISSN - 1565-3633
pISSN - 1687-479X
DOI - 10.1155/2022/2682287
Subject(s) - convolutional neural network , artificial intelligence , deep learning , computer science , schistosomiasis , process (computing) , pattern recognition (psychology) , tropical disease , machine learning , artificial neural network , schistosoma , schistosoma mansoni , image (mathematics) , disease , pathology , medicine , helminths , immunology , operating system
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom