20.5.3.1 Retinal Microaneurysms, Detection

Chapter Contents (Back)
Retinal Images. Microaneurysms. Some are related to:
See also Diabetic Retinopathy, Retinal Analysis Application. General cases:
See also Aneurysms -- Vascular Analysis.

Fleming, A.D., Philip, S., Goatman, K.A., Olson, J.A., Sharp, P.F.,
Automated microaneurysm detection using local contrast normalization and local vessel detection,
MedImg(25), No. 9, September 2006, pp. 1223-1232.
IEEE DOI 0609
BibRef

Cree, M.J., Olson, J.A., McHardy, K.C., Forrester, J.V., Sharp, P.F.,
Automated microaneurysm detection,
ICIP96(III: 699-702).
IEEE DOI 9610
BibRef

Mendonça, A.M.[Ana Maria], Campilho, A.J.[Aurélio J.],
Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction,
MedImg(25), No. 9, September 2006, pp. 1200-1213.
IEEE DOI 0609
BibRef

Mendonca, A.M., Campilho, A.J., Nunes, J.M.R.,
Automatic segmentation of microaneurysms in retinal angiograms of diabetic patients,
CIAP99(728-733).
IEEE DOI 9909
BibRef
Earlier:
A new similarity criterion for retinal image registration,
ICIP94(III: 696-700).
IEEE DOI 9411
BibRef

Quellec, G., Lamard, M., Josselin, P.M., Cazuguel, G., Cochener, B., Roux, C.,
Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs,
MedImg(27), No. 9, September 2008, pp. 1230-1241.
IEEE DOI 0809
BibRef

Niemeijer, M., van Ginneken, B., Cree, M.J., Mizutani, A., Quellec, G., Sanchez, C.I., Zhang, B., Hornero, R., Lamard, M., Muramatsu, C., Wu, X., Cazuguel, G., You, J., Mayo, A., Li, Q., Hatanaka, Y., Cochener, B., Roux, C., Karray, F., Garcia, M., Fujita, H., Abramoff, M.D.,
Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs,
MedImg(29), No. 1, January 2010, pp. 185-195.
IEEE DOI 1001
BibRef

Zhang, B.[Bob], Wu, X.Q.[Xiang-Qian], You, J.[Jane], Li, Q.[Qin], Karray, F.[Fakhri],
Detection of microaneurysms using multi-scale correlation coefficients,
PR(43), No. 6, June 2010, pp. 2237-2248.
Elsevier DOI 1003
Computer-aided diagnosis (CAD); Diabetic retinopathy (DR); Multi-scale correlation filtering; Microaneurysm (red lesion) detection BibRef

Antal, B.[Bálint], Hajdu, A.[András],
Improving microaneurysm detection using an optimally selected subset of candidate extractors and preprocessing methods,
PR(45), No. 1, 2012, pp. 264-270.
Elsevier DOI 1410
Biomedical imaging processing BibRef

Akram, M.U.[M. Usman], Khalid, S.[Shehzad], Khan, S.A.[Shoab A.],
Identification and classification of microaneurysms for early detection of diabetic retinopathy,
PR(46), No. 1, January 2013, pp. 107-116.
Elsevier DOI 1209
Medical image processing; Diabetic retinopathy; Microaneurysms; Classification; m-Mediods BibRef

Tavakoli, M.[Meysam], Shahri, R.P.[Reza Pourreza], Pourreza, H.[Hamidreza], Mehdizadeh, A.[Alireza], Banaee, T.[Touka], Toosi, M.H.B.[Mohammad Hosein Bahreini],
A complementary method for automated detection of microaneurysms in fluorescein angiography fundus images to assess diabetic retinopathy,
PR(46), No. 10, October 2013, pp. 2740-2753.
Elsevier DOI 1306
Computer aided diagnosis; Diabetic retinopathy; Fluorescein angiography; Fundus images; Radon transform; Microaneurysms BibRef

Navarro, P.J.[Pedro J.], Alonso, D.[Diego], Stathis, K.[Kostas],
Automatic detection of microaneurysms in diabetic retinopathy fundus images using the L*a*b color space,
JOSA-A(33), No. 1, January 2016, pp. 74-83.
DOI Link 1601
Digital image processing BibRef

Dashtbozorg, B.[Behdad], Zhang, J.[Jiong], Huang, F.[Fan], ter Haar Romeny, B.M.[Bart M.],
Retinal Microaneurysms Detection Using Local Convergence Index Features,
IP(27), No. 7, July 2018, pp. 3300-3315.
IEEE DOI 1805
BibRef
And:
Automatic Optic Disc and Fovea Detection in Retinal Images Using Super-Elliptical Convergence Index Filters,
ICIAR16(697-706).
Springer DOI 1608
biomedical optical imaging, diseases, eye, feature extraction, image classification, image resolution, retina BibRef

Lazar, I., Hajdu, A.,
Retinal Microaneurysm Detection Through Local Rotating Cross-Section Profile Analysis,
MedImg(32), No. 2, February 2013, pp. 400-407.
IEEE DOI 1301
BibRef

Dai, L., Fang, R., Li, H., Hou, X., Sheng, B., Wu, Q., Jia, W.,
Clinical Report Guided Retinal Microaneurysm Detection With Multi-Sieving Deep Learning,
MedImg(37), No. 5, May 2018, pp. 1149-1161.
IEEE DOI 1805
Hemorrhaging, Image color analysis, Image segmentation, Lesions, Retina, Retinopathy, Semantics, Diabetic retinopathy, multi-sieving CNN BibRef

Deepa, V., Kumar, C.S.[C. Sathish], Andrews, S.S.[Sheena Susan],
Automated detection of microaneurysms using Stockwell transform and statistical features,
IET-IPR(13), No. 8, 20 June 2019, pp. 1341-1348.
DOI Link 1906
BibRef

Derwin, D.J.[D. Jeba], Selvi, S.T.[S. Tamil], Singh, O.J.[O. Jeba],
Discrimination of microaneurysm in color retinal images using texture descriptors,
SIViP(14), No. 2, March 2020, pp. 369-376.
WWW Link. 2003
BibRef

Tóth, J.[János], Tomán, H.[Henrietta], Hajdu, A.[András],
Efficient sampling-based energy function evaluation for ensemble optimization using simulated annealing,
PR(107), 2020, pp. 107510.
Elsevier DOI 2008
Diabetic retinopathy, Ensemble, Microaneurysm detection, Parameter optimization, Sampling-based evaluation, Simulated annealing BibRef

Sarhan, M.H.[Mhd Hasan], Albarqouni, S.[Shadi], Yigitsoy, M.[Mehmet], Navab, N.[Nassir], Abouzar, E.[Eslami],
Microaneurysms segmentation and diabetic retinopathy detection by learning discriminative representations,
IET-IPR(14), No. 17, 24 December 2020, pp. 4571-4578.
DOI Link 2104
BibRef


Kamble, R., Kokare, M.,
Detection of microaneurysm using local rank transform in color fundus images,
ICIP17(4442-4446)
IEEE DOI 1803
biomedical optical imaging, blood vessels, diseases, eye, feature extraction, image colour analysis, Microaneurysm BibRef

Habib, M.M., Welikala, R.A., Hoppe, A., Owen, C.G., Rudnicka, A.R., Barman, S.A.,
Microaneurysm detection in retinal images using an ensemble classifier,
IPTA16(1-6)
IEEE DOI 1703
biomedical optical imaging BibRef

Ding, S.[Shan], Ma, W.[Wenyi],
An Accurate Approach for Microaneurysm Detection in Digital Fundus Images,
ICPR14(1846-1851)
IEEE DOI 1412
Correlation coefficient BibRef

Antal, B.[Balint], Hajdu, A.[Andras],
An ensemble-based microaneurysm detector for retinal images,
ICIP11(1621-1624).
IEEE DOI 1201
BibRef

Zhang, B.[Bob], Zhang, L.[Lei], You, J.[Jane], Karray, F.[Fakhri],
Microaneurysm (MA) Detection via Sparse Representation Classifier with MA and Non-MA Dictionary Learning,
ICPR10(277-280).
IEEE DOI 1008
BibRef

Martins, C.I.O., Medeiros, F.N.S., Veras, R.M.S., Bezerra, F.N., Cesar, R.M.,
Evaluation of retinal vessel segmentation methods for microaneurysms detection,
ICIP09(3365-3368).
IEEE DOI 0911
BibRef

Bhalerao, A.H.[Abhir H.], Patanaik, A.[Amiya], Anand, S.[Sarabjot], Saravanan, P.[Pounnusamy],
Robust Detection of Microaneurysms for Sight Threatening Retinopathy Screening,
ICCVGIP08(520-527).
IEEE DOI 0812
BibRef

Huang, K.[Ke], Yan, M.[Michelle],
A Local Adaptive Algorithm for Microaneurysms Detection in Digital Fundus Images,
CVBIA05(103-113).
Springer DOI 0601
BibRef

Pallawala, P.M.D.S., Hsu, W.[Wynne], Lee, M.L.[Mong Li], Goh, S.S.[Say Song],
Automated Microaneurysm Segmentation and Detection using Generalized Eigenvectors,
WACV05(I: 322-327).
IEEE DOI 0502
BibRef

Yang, G., Gagnon, L., Wang, S., Boucher, M.C.,
Algorithm for Detecting Micros-Aneurysms in Low Resolution Color Retinal Images,
VI01(265-271).
PDF File. BibRef 0100

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Glaucoma Retinopathy, Retinal Analysis Application .


Last update:Nov 1, 2021 at 09:26:50