Hierarchical detection of red lesions in retinal images by multiscale correlation filtering

Bob Zhang; Xiangqian Wu; Jane You; Qin Li; Fakhri Karray

doi:10.1117/12.813913

Hierarchical detection of red lesions in retinal images by multiscale correlation filtering

Bob Zhang^*
, Xiangqian Wu
, Jane You
, Qin Li
, Fakhri Karray

^*Corresponding author for this work

University of Waterloo
School of Computer Science and Technology, Harbin Institute of Technology
Hong Kong Polytechnic University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

33 Scopus citations

Abstract

This paper presents an approach to the computer aided diagnosis (CAD) of diabetic retinopathy (DR)- a common and severe complication of long-term diabetes which damages the retina and cause blindness. Since red lesions are regarded as the first signs of DR, there has been extensive research on effective detection and localization of these abnormalities in retinal images. In contrast to existing algorithms, a new approach based on Multiscale Correlation Filtering (MSCF) and dynamic thresholding is developed. This consists of two levels, Red Lesion Candidate Detection (coarse level) and True Red Lesion Detection (fine level). The approach was evaluated using data from Retinopathy On-line Challenge (ROC) competition website and we conclude our method to be effective and efficient

Original language	English
Title of host publication	Medical Imaging 2009
Subtitle of host publication	Computer-Aided Diagnosis
DOIs	https://doi.org/10.1117/12.813913
State	Published - 2009
Externally published	Yes
Event	Medical Imaging 2009: Computer-Aided Diagnosis - Lake Buena Vista, FL, United States Duration: 10 Feb 2009 → 12 Feb 2009

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	7260
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2009: Computer-Aided Diagnosis
Country/Territory	United States
City	Lake Buena Vista, FL
Period	10/02/09 → 12/02/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Computer-aided diagnosis (CAD)
Diabetic Retinopathy (DR)
Multiscale Correlation Filtering
Red lesiondetection

Access to Document

10.1117/12.813913

Cite this

@inproceedings{03da49654881462abb12bab589a8d95d,

title = "Hierarchical detection of red lesions in retinal images by multiscale correlation filtering",

abstract = "This paper presents an approach to the computer aided diagnosis (CAD) of diabetic retinopathy (DR)- a common and severe complication of long-term diabetes which damages the retina and cause blindness. Since red lesions are regarded as the first signs of DR, there has been extensive research on effective detection and localization of these abnormalities in retinal images. In contrast to existing algorithms, a new approach based on Multiscale Correlation Filtering (MSCF) and dynamic thresholding is developed. This consists of two levels, Red Lesion Candidate Detection (coarse level) and True Red Lesion Detection (fine level). The approach was evaluated using data from Retinopathy On-line Challenge (ROC) competition website and we conclude our method to be effective and efficient",

keywords = "Computer-aided diagnosis (CAD), Diabetic Retinopathy (DR), Multiscale Correlation Filtering, Red lesiondetection",

author = "Bob Zhang and Xiangqian Wu and Jane You and Qin Li and Fakhri Karray",

year = "2009",

doi = "10.1117/12.813913",

language = "英语",

isbn = "9780819475114",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

booktitle = "Medical Imaging 2009",

note = "Medical Imaging 2009: Computer-Aided Diagnosis ; Conference date: 10-02-2009 Through 12-02-2009",

}

Zhang, B, Wu, X, You, J, Li, Q & Karray, F 2009, Hierarchical detection of red lesions in retinal images by multiscale correlation filtering. in Medical Imaging 2009: Computer-Aided Diagnosis., 72601L, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 7260, Medical Imaging 2009: Computer-Aided Diagnosis, Lake Buena Vista, FL, United States, 10/02/09. https://doi.org/10.1117/12.813913

Hierarchical detection of red lesions in retinal images by multiscale correlation filtering. / Zhang, Bob; Wu, Xiangqian; You, Jane et al.
Medical Imaging 2009: Computer-Aided Diagnosis. 2009. 72601L (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7260).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Hierarchical detection of red lesions in retinal images by multiscale correlation filtering

AU - Zhang, Bob

AU - Wu, Xiangqian

AU - You, Jane

AU - Li, Qin

AU - Karray, Fakhri

PY - 2009

Y1 - 2009

N2 - This paper presents an approach to the computer aided diagnosis (CAD) of diabetic retinopathy (DR)- a common and severe complication of long-term diabetes which damages the retina and cause blindness. Since red lesions are regarded as the first signs of DR, there has been extensive research on effective detection and localization of these abnormalities in retinal images. In contrast to existing algorithms, a new approach based on Multiscale Correlation Filtering (MSCF) and dynamic thresholding is developed. This consists of two levels, Red Lesion Candidate Detection (coarse level) and True Red Lesion Detection (fine level). The approach was evaluated using data from Retinopathy On-line Challenge (ROC) competition website and we conclude our method to be effective and efficient

AB - This paper presents an approach to the computer aided diagnosis (CAD) of diabetic retinopathy (DR)- a common and severe complication of long-term diabetes which damages the retina and cause blindness. Since red lesions are regarded as the first signs of DR, there has been extensive research on effective detection and localization of these abnormalities in retinal images. In contrast to existing algorithms, a new approach based on Multiscale Correlation Filtering (MSCF) and dynamic thresholding is developed. This consists of two levels, Red Lesion Candidate Detection (coarse level) and True Red Lesion Detection (fine level). The approach was evaluated using data from Retinopathy On-line Challenge (ROC) competition website and we conclude our method to be effective and efficient

KW - Computer-aided diagnosis (CAD)

KW - Diabetic Retinopathy (DR)

KW - Multiscale Correlation Filtering

KW - Red lesiondetection

UR - https://www.scopus.com/pages/publications/66749089296

U2 - 10.1117/12.813913

DO - 10.1117/12.813913

M3 - 会议稿件

AN - SCOPUS:66749089296

SN - 9780819475114

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2009

T2 - Medical Imaging 2009: Computer-Aided Diagnosis

Y2 - 10 February 2009 through 12 February 2009

ER -

Hierarchical detection of red lesions in retinal images by multiscale correlation filtering

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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