Improving microaneurysm detection from non-dilated diabetic retinopathy retinal images using feature optimisation

Research output: Contribution to journal › Article › peer-review

4 Downloads (Pure)

Original language	English
Pages (from-to)	355-369
Journal	International Journal of Computer Aided Engineering and Technology
Volume	12
Issue number	3
Early online date	5 Mar 2020
DOIs	https://doi.org/10.1504/IJCAET.2020.106238
Publication status	Published - 2020

Keywords

@article{5d964d514b894b3b8f8ee46c7e96c1cc,

title = "Improving microaneurysm detection from non-dilated diabetic retinopathy retinal images using feature optimisation",

keywords = "Computer science and informatics",

author = "Akara Thammastitkul and Bunyarit Uyyanonvara and Barman, \{Sarah A.\}",

year = "2020",

doi = "10.1504/IJCAET.2020.106238",

language = "English",

volume = "12",

pages = "355--369",

journal = "International Journal of Computer Aided Engineering and Technology",

issn = "1757-2657",

publisher = "Inderscience",

number = "3",

}

TY - JOUR

T1 - Improving microaneurysm detection from non-dilated diabetic retinopathy retinal images using feature optimisation

AU - Thammastitkul, Akara

AU - Uyyanonvara, Bunyarit

AU - Barman, Sarah A.

PY - 2020

Y1 - 2020

KW - Computer science and informatics

U2 - 10.1504/IJCAET.2020.106238

DO - 10.1504/IJCAET.2020.106238

M3 - Article

SN - 1757-2657

VL - 12

SP - 355

EP - 369

JO - International Journal of Computer Aided Engineering and Technology

JF - International Journal of Computer Aided Engineering and Technology

IS - 3

ER -