Literature DB >> 31799017

FILM: finding the location of microaneurysms on the retina.

Rohan R Akut1.   

Abstract

Diabetes retinopathy (DR) is one of the leading cause of blindness among people suffering from diabetes. It is a lesion based disease which starts off as small red spots on the retina. These small red lesions are known as microaneurysms (MA). These microaneurysms gradually increase in size as the DR progresses, which eventually leads to blindness. Thus, DR can be prevented at a very early stage by eliminating the retinal microaneurysms. However, elimination of MA is a two step process. The first step requires detecting the presence of MA on the retina. The second step involves pinpointing the location of MA on the retina. Even though, these two steps are interdependent, there is no model available that can perform both steps simultaneously. Most of the models perform the first step successfully, while the second step is performed by opthamologists manually. Hence we have proposed an object detection model that integrates the two steps by detecting (first step) and pinpointing (second step) the MA on the retina simultaneously. This would help the opthamologists in directly finding the exact location of MA on the retina, thereby simplifying the process and eliminating any manual intervention. © Korean Society of Medical and Biological Engineering 2019.

Entities:  

Keywords:  Diabetes retinopathy; Microaneurysm detection; Object detection; YOLO

Year:  2019        PMID: 31799017      PMCID: PMC6859141          DOI: 10.1007/s13534-019-00136-6

Source DB:  PubMed          Journal:  Biomed Eng Lett        ISSN: 2093-9868


  14 in total

1.  Optical Coherence Tomography Angiography in Diabetic Retinopathy: A Prospective Pilot Study.

Authors:  Akihiro Ishibazawa; Taiji Nagaoka; Atsushi Takahashi; Tsuneaki Omae; Tomofumi Tani; Kenji Sogawa; Harumasa Yokota; Akitoshi Yoshida
Journal:  Am J Ophthalmol       Date:  2015-04-18       Impact factor: 5.258

2.  Hemorrhage and/or Microaneurysm Severity and Count in Ultrawide Field Images and Early Treatment Diabetic Retinopathy Study Photography.

Authors:  Paolo S Silva; Hala El-Rami; Rasha Barham; Aditi Gupta; Alan Fleming; Jano van Hemert; Jerry D Cavallerano; Jennifer K Sun; Lloyd Paul Aiello
Journal:  Ophthalmology       Date:  2017-03-20       Impact factor: 12.079

3.  Automated microaneurysm detection using local contrast normalization and local vessel detection.

Authors:  Alan D Fleming; Sam Philip; Keith A Goatman; John A Olson; Peter F Sharp
Journal:  IEEE Trans Med Imaging       Date:  2006-09       Impact factor: 10.048

4.  Automated microaneurysm detection in diabetic retinopathy using curvelet transform.

Authors:  Syed Ayaz Ali Shah; Augustinus Laude; Ibrahima Faye; Tong Boon Tang
Journal:  J Biomed Opt       Date:  2016-10       Impact factor: 3.170

5.  Microaneurysm detection using fully convolutional neural networks.

Authors:  Piotr Chudzik; Somshubra Majumdar; Francesco Calivá; Bashir Al-Diri; Andrew Hunter
Journal:  Comput Methods Programs Biomed       Date:  2018-02-22       Impact factor: 5.428

Review 6.  Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales.

Authors:  C P Wilkinson; Frederick L Ferris; Ronald E Klein; Paul P Lee; Carl David Agardh; Matthew Davis; Diana Dills; Anselm Kampik; R Pararajasegaram; Juan T Verdaguer
Journal:  Ophthalmology       Date:  2003-09       Impact factor: 12.079

7.  Vessel segmentation and microaneurysm detection using discriminative dictionary learning and sparse representation.

Authors:  Malihe Javidi; Hamid-Reza Pourreza; Ahad Harati
Journal:  Comput Methods Programs Biomed       Date:  2016-10-26       Impact factor: 5.428

8.  Computer-based detection of diabetes retinopathy stages using digital fundus images.

Authors:  U R Acharya; C M Lim; E Y K Ng; C Chee; T Tamura
Journal:  Proc Inst Mech Eng H       Date:  2009-07       Impact factor: 1.617

9.  Non-dimensional analysis of retinal microaneurysms: critical threshold for treatment.

Authors:  Elishai Ezra; Eliezer Keinan; Yossi Mandel; Michael E Boulton; Yaakov Nahmias
Journal:  Integr Biol (Camb)       Date:  2013-03       Impact factor: 2.192

10.  Simple hybrid method for fine microaneurysm detection from non-dilated diabetic retinopathy retinal images.

Authors:  Akara Sopharak; Bunyarit Uyyanonvara; Sarah Barman
Journal:  Comput Med Imaging Graph       Date:  2013-06-15       Impact factor: 4.790

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  1 in total

1.  Microaneurysms detection in color fundus images using machine learning based on directional local contrast.

Authors:  Shengchun Long; Jiali Chen; Ante Hu; Haipeng Liu; Zhiqing Chen; Dingchang Zheng
Journal:  Biomed Eng Online       Date:  2020-04-15       Impact factor: 2.819

  1 in total

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