Diabetic retinopathy detection using image-processing
Cataloged from PDF version of thesis report.
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| Format: | Praca dyplomowa |
| Język: | English |
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BRAC University
2016
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| Dostęp online: | http://hdl.handle.net/10361/5413 |
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10361-5413 |
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10361-54132022-01-26T10:15:45Z Diabetic retinopathy detection using image-processing Zaman, Asif Uz Bashir, Shadaab Kawnain Ali, Md. Haider Ali, Mohammad Hammad Department of Computer Science and Engineering, BRAC University Computer science and engineering Diabetic retinopathy Cataloged from PDF version of thesis report. Includes bibliographical references (page 37-38). This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. Diabetic retinopathy is a leading problem throughout the world and many people are losing their vision because of this disease. The disease can get severe if it is not treated properly at its early stages. The damage in the retinal blood vessel eventually blocks the light that passes through the optical nerves which makes the patient with Diabetic Retinopathy blind. Therefore, in our research we wanted to find out a way to overcome this problem and thus using the help of convolutional neural network (ConvNet), we wereable to detect multiple stages of severity for Diabetic Retinopathy.There are other processes present to detect Diabetic Retinopathy and one such process is manual screening, but this requires a skilled ophthalmologist and takes up a huge amount of time. Thus our automatic diabetic retinopathy detection technique can be used to replace such manual processes and theophthalmologist can spend more time taking proper care of the patient or at least decrease the severity of this disease. Asif Uz Zaman Shadaab Kawnain Bashir B. Computer Science and Engineering 2016-05-29T16:39:52Z 2016-05-29T16:39:52Z 2016 4/20/2016 Thesis ID 12301018 ID 13301092 http://hdl.handle.net/10361/5413 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 38 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Computer science and engineering Diabetic retinopathy |
| spellingShingle |
Computer science and engineering Diabetic retinopathy Zaman, Asif Uz Bashir, Shadaab Kawnain Diabetic retinopathy detection using image-processing |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Ali, Md. Haider |
| author_facet |
Ali, Md. Haider Zaman, Asif Uz Bashir, Shadaab Kawnain |
| format |
Thesis |
| author |
Zaman, Asif Uz Bashir, Shadaab Kawnain |
| author_sort |
Zaman, Asif Uz |
| title |
Diabetic retinopathy detection using image-processing |
| title_short |
Diabetic retinopathy detection using image-processing |
| title_full |
Diabetic retinopathy detection using image-processing |
| title_fullStr |
Diabetic retinopathy detection using image-processing |
| title_full_unstemmed |
Diabetic retinopathy detection using image-processing |
| title_sort |
diabetic retinopathy detection using image-processing |
| publisher |
BRAC University |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10361/5413 |
| work_keys_str_mv |
AT zamanasifuz diabeticretinopathydetectionusingimageprocessing AT bashirshadaabkawnain diabeticretinopathydetectionusingimageprocessing |
| _version_ |
1814308291861282816 |