Earticle

초록

영어

Diabetic Retinopathy (DR) is a disease that creates some changes in the retinal blood vessels. Blood vessels leaks fats or lipids in the yellowish color which is a cause of blindness and the aggregate yellowish color fat or lipid on the eye is known as exudates. In order to help the ophthalmologists for accurate detection of exudates hybrid CS-ACO is applied on the online dataset HEI-MED consists 169 images. Hybrid approach works in three steps first hybrid CS-ACO is performed to enhance the image second DWT is used to reduce the time elapsed in image enhancement and finally ACO is used for the detection of exudates. The performance of CS-ACO is better than ACO in the detection of exudates. The proposed model has attained mean values of 99.6%, 98.7% and 98.6% for sensitivity, specificity and accuracy respectively on online database.

목차

Abstract
 1. Introduction
 2. Methods and Material
  2.1. Database Used
  2.2. Methodology
  2.3. Hybrid CS-ACO Method
 4. Results and Discussion
 5. Conclusion
 References

키워드

저자

• Komal Kansal [ Computer Science and Engineering DAV University Jalandhar, India ]
• Er. Nishi [ Computer Science and Engineering DAV University Jalandhar, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605