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Localization and phenotyping of tuberculosis bacteria using a combination of deep learning and SVMs (dataset)
Marios Zachariou
(Creator)
Oggie Arandelovic
(Creator)
Evelin Dombay
(Creator)
Wilber Sabiiti
(Creator)
Bariki Anyamkisye Mtafya
(Creator)
NE Ntinginya
(Creator)
Derek James Sloan
(Creator)
Infection and Global Health Division
School of Computer Science
School of Medicine
Dataset
Overview
Projects
(1)
Research output
(1)
Research output
Research output per year
2023
2023
2023
1
Article
Research output per year
Research output per year
1 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Search results
2023
Localization and phenotyping of tuberculosis bacteria using a combination of deep learning and SVMs
Zachariou, M.,
Arandjelović, O.
, Dombay, E.,
Sabiiti, W.
, Mtafya, B., Ntinginya, N. E. &
Sloan, D. J.
,
1 Dec 2023
,
In:
Computers in Biology and Medicine.
167
,
13 p.
, 107573.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Mycobacterium Tuberculosis
100%
Fluorescence Microscopy
60%
Lipid
60%
Bacterium Detection
20%
Support Vector Machine
20%