Lung cancer detection and classification using machine learning

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.

Chi tiết về thư mục
Những tác giả chính:	Arefin, Mahbubul, Hekim, Md. Lokman, Farjana, Afia, Bala, Nisarga
Tác giả khác:	Rasel, Annajiat Alim
Định dạng:	Luận văn
Ngôn ngữ:	English
Được phát hành:	Brac University 2023
Những chủ đề:	Lung cancer detection Prediction CNN CT scan Machine learning Cancer > Diagnosis > Data processing
Truy cập trực tuyến:	http://hdl.handle.net/10361/21920

Những quyển sách tương tự

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Impact of treatment size and therapy type in phase II clinical trials of non-small cell lung cancer
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Recent developments in the Adeno-Associated Viral Gene Therapy for Non-Small Cell Lung Cancer during the past 20 years
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Effect of performance status on efficacy endpoints in phase II trials of non-small cell lung cancer
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An overview of the clinical management and challenges of treatments for the patients diagnosed with COVID-19 and lung carcinoma
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Score based risk assessment of lung cancer and its evaluation for Bangladeshi people
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Statistics and informatics in molecular cancer research

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Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
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Cancer detection using image processing techniques based on cell counting, cell area measurement and clump detection
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Cancer risk factors: a critical review
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Breast cancer prediction using different machine learning models
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Cancer classification using deep learning from medical image data
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Survey on patients undergoing treatments for cervical, endometrial and ovarian cancer
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Epigenetic therapy in cancer
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Early detection of cervical cancer using deep neural networks
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Pooled analysis of response rate and overall survival of Tyrosine Kinase inhibitor combinations in phase II clinical trials of non-small cell lung cancer
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