Prostate cancer detection using deep learning neural network with transfer learning approach
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
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| Γλώσσα: | English |
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Brac University
2022
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| Διαθέσιμο Online: | http://hdl.handle.net/10361/16454 |
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10361-16454 |
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10361-164542022-03-14T21:01:34Z Prostate cancer detection using deep learning neural network with transfer learning approach Badhon, Ariful Islam Mahmud Hasan, Md. Sadman Haque, Md. Samiul Pranto, Md. Shafayat Hossain Ghosh, Saurav Alam, Md. Golam Rabiul Rashid, Warida Department of Computer Science and Engineering, Brac University Prostate cancer Deep learning ImageNet Transfer learning VGG16 Image classification Machine learning classifier Cognitive learning theory (Deep learning) Neural networks (Computer science) Machine learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 27-29). Prostate cancer is a ubiquitous form of cancer detected among men all over the world. It is currently the second leading cause of cancer death worldwide among men. Research shows that about 11% of men worldwide are affected by prostate cancer at some point during their lives. In our thesis, we have used a Transfer Learning approach for the Deep Learning model to compare the precision in results using machine learning classifiers. We have also evaluated performance in terms of classification with different evaluation measures using a Deep Learning pre-trained network (VGG16). Parameters such as Precision, Recall, F1 score and Loss vs Accuracy were assessed thoroughly as different performance measures. After applying the Transfer Learning approach, we have recorded the peak performance using the VGG16 architecture. We used the convolutional block and dense layers of VGG16 architecture to extract features from image datasets. We forwarded those features to Machine Learning classifiers for the final classification result. We have procured outstanding accuracy using the Deep Machine Learning method in our research. Ariful Islam Mahmud Badhon Md. Sadman Hasan Md. Samiul Haque Md. Shafayat Hossain Pranto Saurav Ghosh B. Computer Science 2022-03-14T09:02:09Z 2022-03-14T09:02:09Z 2021 2021-10 Thesis ID 17101314 ID 17101413 ID 17301169 ID 18301238 ID 17101355 http://hdl.handle.net/10361/16454 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. 29 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Prostate cancer Deep learning ImageNet Transfer learning VGG16 Image classification Machine learning classifier Cognitive learning theory (Deep learning) Neural networks (Computer science) Machine learning |
| spellingShingle |
Prostate cancer Deep learning ImageNet Transfer learning VGG16 Image classification Machine learning classifier Cognitive learning theory (Deep learning) Neural networks (Computer science) Machine learning Badhon, Ariful Islam Mahmud Hasan, Md. Sadman Haque, Md. Samiul Pranto, Md. Shafayat Hossain Ghosh, Saurav Prostate cancer detection using deep learning neural network with transfer learning approach |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
| author2 |
Alam, Md. Golam Rabiul |
| author_facet |
Alam, Md. Golam Rabiul Badhon, Ariful Islam Mahmud Hasan, Md. Sadman Haque, Md. Samiul Pranto, Md. Shafayat Hossain Ghosh, Saurav |
| format |
Thesis |
| author |
Badhon, Ariful Islam Mahmud Hasan, Md. Sadman Haque, Md. Samiul Pranto, Md. Shafayat Hossain Ghosh, Saurav |
| author_sort |
Badhon, Ariful Islam Mahmud |
| title |
Prostate cancer detection using deep learning neural network with transfer learning approach |
| title_short |
Prostate cancer detection using deep learning neural network with transfer learning approach |
| title_full |
Prostate cancer detection using deep learning neural network with transfer learning approach |
| title_fullStr |
Prostate cancer detection using deep learning neural network with transfer learning approach |
| title_full_unstemmed |
Prostate cancer detection using deep learning neural network with transfer learning approach |
| title_sort |
prostate cancer detection using deep learning neural network with transfer learning approach |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/16454 |
| work_keys_str_mv |
AT badhonarifulislammahmud prostatecancerdetectionusingdeeplearningneuralnetworkwithtransferlearningapproach AT hasanmdsadman prostatecancerdetectionusingdeeplearningneuralnetworkwithtransferlearningapproach AT haquemdsamiul prostatecancerdetectionusingdeeplearningneuralnetworkwithtransferlearningapproach AT prantomdshafayathossain prostatecancerdetectionusingdeeplearningneuralnetworkwithtransferlearningapproach AT ghoshsaurav prostatecancerdetectionusingdeeplearningneuralnetworkwithtransferlearningapproach |
| _version_ |
1814309502727487488 |