Tuberculosis diagnosis through image processing
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
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| 語言: | English |
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BRAC University
2018
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| 在線閱讀: | http://hdl.handle.net/10361/9021 |
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10361-9021 |
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10361-90212023-01-23T09:14:31Z Tuberculosis diagnosis through image processing Kamal, Nahid Islam, Subrina Asad, Al Faysal Bin Khatun, Sumaiya Chakrabarty, Dr. Amitabha Department of Computer Science and Engineering, BRAC University Tuberculosis Infectious disease Image processing Algorithm Ziehl-Neelsen stain This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Cataloged from PDF version of thesis report. Includes bibliographical references (pages 41-42). Tuberculosis is most common contagious disease. Nowadays, millions of human beings of the world are suffering from it. We will use the most used worldwide method Ziehl-Neelsen stain (ZN-stain) to detect Tuberculosis which is based on sputum examination microscopically. This method needs expert human resources and implicit examination. The main constraints are expertise human,time and cost to implement our process. We will use Thresholding, multi-stage, color-based Bayesian segmentation identified possible ‘Tuberculosis objects’, removed artifacts by shape comparison and color-labeled objects as ‘definite’, ‘possible’ or ‘non-Tuberculosis’, bypassing photomicrographic calibration.In our work, we will use an algorithm based on image processing is developed for identification of Tuberculosis. Nahid Kamal Subrina Islam Al Faysal Bin Asad Sumaiya Khatun B. Computer Science and Engineering 2018-01-11T05:56:20Z 2018-01-11T05:56:20Z 2017 2017 Thesis ID 12201058 ID 13301139 ID-13101095 ID-12201099 http://hdl.handle.net/10361/9021 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. 42 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Tuberculosis Infectious disease Image processing Algorithm Ziehl-Neelsen stain |
| spellingShingle |
Tuberculosis Infectious disease Image processing Algorithm Ziehl-Neelsen stain Kamal, Nahid Islam, Subrina Asad, Al Faysal Bin Khatun, Sumaiya Tuberculosis diagnosis through image processing |
| description |
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. |
| author2 |
Chakrabarty, Dr. Amitabha |
| author_facet |
Chakrabarty, Dr. Amitabha Kamal, Nahid Islam, Subrina Asad, Al Faysal Bin Khatun, Sumaiya |
| format |
Thesis |
| author |
Kamal, Nahid Islam, Subrina Asad, Al Faysal Bin Khatun, Sumaiya |
| author_sort |
Kamal, Nahid |
| title |
Tuberculosis diagnosis through image processing |
| title_short |
Tuberculosis diagnosis through image processing |
| title_full |
Tuberculosis diagnosis through image processing |
| title_fullStr |
Tuberculosis diagnosis through image processing |
| title_full_unstemmed |
Tuberculosis diagnosis through image processing |
| title_sort |
tuberculosis diagnosis through image processing |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/9021 |
| work_keys_str_mv |
AT kamalnahid tuberculosisdiagnosisthroughimageprocessing AT islamsubrina tuberculosisdiagnosisthroughimageprocessing AT asadalfaysalbin tuberculosisdiagnosisthroughimageprocessing AT khatunsumaiya tuberculosisdiagnosisthroughimageprocessing |
| _version_ |
1814307537161289728 |