Lung cancer detection and classification using machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
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| Լեզու: | English |
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Brac University
2023
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| Առցանց հասանելիություն: | http://hdl.handle.net/10361/21920 |
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10361-21920 |
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10361-219202023-12-05T21:02:33Z Lung cancer detection and classification using machine learning Arefin, Mahbubul Hekim, Md. Lokman Farjana, Afia Bala, Nisarga Rasel, Annajiat Alim Rahman, Rafeed Department of Computer Science and Engineering, Brac University Lung cancer detection Prediction CNN CT scan Machine learning Cancer--Diagnosis--Data processing This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 23-24). Lung cancer is a term known to all nowadays. This disease grows in the lung tissues and starts to spread with time. The cells responsible for air passage are corrupted by it. It can happen because of air pollution. When we breathe in polluted air regularly, our lungs are likely to be damaged. But by smoking, a lot of people are damaging their lungs repeatedly. Due to this act, they are receiving lung cancer as consequence. It has been affecting people acutely and if prevented in earlier states, then the rate of death would lessen. In order to do that, we have proposed some methods to detect this illness. Machine Learning is a technique where machines (computers) can give us a solution to a problem by analyzing the collected data. Using this method, we can detect lung cancer which is the first step towards our desired goal. Usage of CT scan could help us decide between cancer affected and unaffected human cells. Those cells also can be classified more efficiently and we can accurately detect the stage of the cancer when we use CNN models like VGG-19, ResNet50, EfficientNet, DenseNet and so on. We got the highest accuracy from ResNet50 which is 89.52%. Mahbubul Arefin Md. Lokman Hekim Afia Farjana Nisarga Bala B.Sc. in Computer Science and Engineering 2023-12-05T06:32:16Z 2023-12-05T06:32:16Z 2023 2023-05 Thesis ID 17201083 ID 18101499 ID 19101429 ID 20101533 http://hdl.handle.net/10361/21920 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. 35 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Lung cancer detection Prediction CNN CT scan Machine learning Cancer--Diagnosis--Data processing |
| spellingShingle |
Lung cancer detection Prediction CNN CT scan Machine learning Cancer--Diagnosis--Data processing Arefin, Mahbubul Hekim, Md. Lokman Farjana, Afia Bala, Nisarga Lung cancer detection and classification using machine learning |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. |
| author2 |
Rasel, Annajiat Alim |
| author_facet |
Rasel, Annajiat Alim Arefin, Mahbubul Hekim, Md. Lokman Farjana, Afia Bala, Nisarga |
| format |
Thesis |
| author |
Arefin, Mahbubul Hekim, Md. Lokman Farjana, Afia Bala, Nisarga |
| author_sort |
Arefin, Mahbubul |
| title |
Lung cancer detection and classification using machine learning |
| title_short |
Lung cancer detection and classification using machine learning |
| title_full |
Lung cancer detection and classification using machine learning |
| title_fullStr |
Lung cancer detection and classification using machine learning |
| title_full_unstemmed |
Lung cancer detection and classification using machine learning |
| title_sort |
lung cancer detection and classification using machine learning |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/21920 |
| work_keys_str_mv |
AT arefinmahbubul lungcancerdetectionandclassificationusingmachinelearning AT hekimmdlokman lungcancerdetectionandclassificationusingmachinelearning AT farjanaafia lungcancerdetectionandclassificationusingmachinelearning AT balanisarga lungcancerdetectionandclassificationusingmachinelearning |
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