Diabetic retinopathy detection using machine learning
Cataloged from PDF version of thesis.
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| বিন্যাস: | গবেষণাপত্র |
| ভাষা: | English |
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BRAC University
2018
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| অনলাইন ব্যবহার করুন: | http://hdl.handle.net/10361/10149 |
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10361-10149 |
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10361-101492022-01-26T10:10:37Z Diabetic retinopathy detection using machine learning Maliha, Maisha Tareque, Ahmed Roy, Sourav Saha Arif, Hossain Department of Computer Science and Engineering, BRAC University Diabetic retinopathy Eye disease Pupil dilation Tomography Machine learning Cataloged from PDF version of thesis. Includes bibliographical references (page 30-32). This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Diabetic Retinopathy (DR) is human eye disease among people with diabetics which causes damage to retina of eye and may eventually lead to complete blindness. Detection of diabetic retinopathy in early stage is essential to avoid complete blindness. Effective treatments for DR are available though it requires early diagnosis and the continuous monitoring of diabetic patients. Also many physical tests like visual acuity test, pupil dilation, and optical coherence tomography can be used to detect diabetic retinopathy but are time consuming. The objective of our thesis is to give decision about the presence of diabetic retinopathy by applying ensemble of machine learning classifying algorithms on features extracted from output of different retinal image. It will give us accuracy of which algorithm will be suitable and more accurate for prediction of the disease. Decision making for predicting the presence of diabetic retinopathy is performed using K-Nearest Neighbor, Random Forest, Support Vector Machine and Neural Networks. Maisha Maliha Ahmed Tareque Sourav Saha Roy B. Computer Science and Engineering 2018-05-15T04:20:53Z 2018-05-15T04:20:53Z 2018 4/4/2018 Thesis ID 14101013 ID 17341009 ID 13301087 http://hdl.handle.net/10361/10149 en BRAC University theses 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. 32 pages application/pdf BRAC University |
| institution |
Brac University |
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Institutional Repository |
| language |
English |
| topic |
Diabetic retinopathy Eye disease Pupil dilation Tomography Machine learning |
| spellingShingle |
Diabetic retinopathy Eye disease Pupil dilation Tomography Machine learning Maliha, Maisha Tareque, Ahmed Roy, Sourav Saha Diabetic retinopathy detection using machine learning |
| description |
Cataloged from PDF version of thesis. |
| author2 |
Arif, Hossain |
| author_facet |
Arif, Hossain Maliha, Maisha Tareque, Ahmed Roy, Sourav Saha |
| format |
Thesis |
| author |
Maliha, Maisha Tareque, Ahmed Roy, Sourav Saha |
| author_sort |
Maliha, Maisha |
| title |
Diabetic retinopathy detection using machine learning |
| title_short |
Diabetic retinopathy detection using machine learning |
| title_full |
Diabetic retinopathy detection using machine learning |
| title_fullStr |
Diabetic retinopathy detection using machine learning |
| title_full_unstemmed |
Diabetic retinopathy detection using machine learning |
| title_sort |
diabetic retinopathy detection using machine learning |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/10149 |
| work_keys_str_mv |
AT malihamaisha diabeticretinopathydetectionusingmachinelearning AT tarequeahmed diabeticretinopathydetectionusingmachinelearning AT roysouravsaha diabeticretinopathydetectionusingmachinelearning |
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1814307914243899392 |