Statistical classifiers on local binary patterns for optical diagnosis of diabetic retinopathy

2018 ◽  
Author(s):  
Prasanta K. Panigrahi ◽  
Sabyasachi Mukhopadhyay ◽  
Sawon Pratiher ◽  
Jay Chhablani ◽  
Sukanya Mukherjee ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Local Binary Patterns ◽  
Optical Diagnosis ◽  
Statistical Classifiers

Probing tissue multifractality for optical diagnosis of diabetic retinopathy

2018 ◽  
Author(s):  
Prasanta K. Panigrahi ◽  
Sawon Pratiher ◽  
Sabyasachi Mukhopadhyay ◽  
Jay Chhablani ◽  
Sukanya Mukherjee ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Optical Diagnosis

scholarly journals Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1005 ◽  
Author(s):  
Adrián Colomer ◽  
Jorge Igual ◽  
Valery Naranjo
Keyword(s):  
Diabetic Retinopathy ◽  
Large Degree ◽  
Local Binary Patterns ◽  
Classification Algorithms ◽  
Lesion Segmentation ◽  
Retinal Tissue ◽  
Image Descriptors ◽  
Map Generation ◽  
Novel Algorithms

Estimated blind people in the world will exceed 40 million by 2025. To develop novel algorithms based on fundus image descriptors that allow the automatic classification of retinal tissue into healthy and pathological in early stages is necessary. In this paper, we focus on one of the most common pathologies in the current society: diabetic retinopathy. The proposed method avoids the necessity of lesion segmentation or candidate map generation before the classification stage. Local binary patterns and granulometric profiles are locally computed to extract texture and morphological information from retinal images. Different combinations of this information feed classification algorithms to optimally discriminate bright and dark lesions from healthy tissues. Through several experiments, the ability of the proposed system to identify diabetic retinopathy signs is validated using different public databases with a large degree of variability and without image exclusion.

Statistical classifiers on multifractal parameters for optical diagnosis of cervical cancer

2017 ◽  
Author(s):  
Sabyasachi Mukhopadhyay ◽  
Sawon Pratiher ◽  
Rajeev Kumar ◽  
Vigneshram Krishnamoorthy ◽  
Asima Pradhan ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Optical Diagnosis ◽  
Statistical Classifiers

scholarly journals Edgy salient local binary patterns in inter-plane relationship for image retrieval in Diabetic Retinopathy

2017 ◽  
Vol 115 ◽  
pp. 440-447 ◽  
Author(s):  
Gajanan M. Galshetwar ◽  
Laxman M. Waghmare ◽  
Anil B. Gonde ◽  
Subrahmanyam Murala
Keyword(s):  
Diabetic Retinopathy ◽  
Image Retrieval ◽  
Local Binary Patterns

Apnea May Ramp Up Diabetic Retinopathy Risk

2011 ◽  
Vol 44 (13) ◽  
pp. 59
Author(s):  
SHERRY BOSCHERT
Keyword(s):  
Diabetic Retinopathy
Sign in / Sign up

Export Citation Format

Share Document