Identification of childhood leukemia using deep learning
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
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| Формат: | Дисертація |
| Мова: | English |
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BRAC University
2018
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| Онлайн доступ: | http://hdl.handle.net/10361/8888 |
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10361-88882022-01-26T10:08:26Z Identification of childhood leukemia using deep learning Tultul, Farana Naz Mostakim, Moin Department of Computer Science and Engineering, BRAC University Leukemia Neural network Childhood leukemia Naïve bayes MLP This thesis report is submitted in partial fulfillment 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 (page 28). Although cancer in children is rare, it is the leading cause of death past infancy amongst children. According to Afshar, Abdolrahmani, Tanha, Seif, Taheri(2010), Leukemia or blood cancer is one of the most common cancers in children, comprising of more than a third of all childhood cancers. Despite the advances of technology and research and overall decrease in mortality, nearly 2000 children die of cancer each year in the United States according to www.cancer.gov(2017). The website also tells us that if Leukemia cases are identified late or proper treatment isn’t applied, then it can be mortal. For this reason, we have decided to use deep learning for the rapid identification of leukemia in the absence of doctors, which can be done in clinics by present nurses and lab workers. We are going to use ID3 and C4.5 (extension of ID3) classifiers, Naïve Bayes and Multi-layer Perceptron (MLP) Neural network on the data I have gathered of the 78 cases and check which one gives the most accurate result. Farana Naz Tultul B. Computer Science and Engineering 2018-01-03T06:04:00Z 2018-01-03T06:04:00Z 2017 2017 Thesis ID 13101235 http://hdl.handle.net/10361/8888 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. 28 pages application/pdf BRAC University |
| institution |
Brac University |
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Institutional Repository |
| language |
English |
| topic |
Leukemia Neural network Childhood leukemia Naïve bayes MLP |
| spellingShingle |
Leukemia Neural network Childhood leukemia Naïve bayes MLP Tultul, Farana Naz Identification of childhood leukemia using deep learning |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. |
| author2 |
Mostakim, Moin |
| author_facet |
Mostakim, Moin Tultul, Farana Naz |
| format |
Thesis |
| author |
Tultul, Farana Naz |
| author_sort |
Tultul, Farana Naz |
| title |
Identification of childhood leukemia using deep learning |
| title_short |
Identification of childhood leukemia using deep learning |
| title_full |
Identification of childhood leukemia using deep learning |
| title_fullStr |
Identification of childhood leukemia using deep learning |
| title_full_unstemmed |
Identification of childhood leukemia using deep learning |
| title_sort |
identification of childhood leukemia using deep learning |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/8888 |
| work_keys_str_mv |
AT tultulfarananaz identificationofchildhoodleukemiausingdeeplearning |
| _version_ |
1814307621289590784 |