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Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices
Tess Watt,
Christos Chrysoulas
, Peter J. Barclay
School of Mathematical & Computer Sciences
Computer Science
Research output
:
Working paper
›
Preprint
4
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Dive into the research topics of 'Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices'. Together they form a unique fingerprint.
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INIS
diseases
100%
devices
100%
skin
50%
images
50%
classification
50%
clouds
50%
internet
50%
losses
25%
weight
25%
environment
25%
accuracy
25%
trains
25%
rural areas
25%
skin diseases
25%
raspberries
25%
processing (data)
25%
Computer Science
Constrained Device
100%
Artificial Intelligence
100%
Image Classification
33%
Processing Data
33%
Raspberry Pi
33%
Internet Access
33%
Pharmacology, Toxicology and Pharmaceutical Science
Disease
100%
Skin Defect
100%
Raspberry
50%
Skin Disease
50%
Engineering
Support System
100%
Artificial Intelligence
100%
Image Classification
33%
Internet Access
33%
Nursing and Health Professions
Artificial Intelligence
100%
Skin Defect
66%