Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Biotechnology and Bachelor of Science in Microbiology, 2023.
Κύριος συγγραφέας: | Faisal, Shah |
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Άλλοι συγγραφείς: | Haque, Munima |
Μορφή: | Thesis |
Γλώσσα: | English |
Έκδοση: |
Brac University
2024
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Θέματα: | |
Διαθέσιμο Online: | http://hdl.handle.net/10361/22686 |
Παρόμοια τεκμήρια
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Early detection of cervical cancer using deep neural networks
ανά: Akhund, Atoshi, κ.ά.
Έκδοση: (2023) -
Decoding the functional roles of intronic microRNA miR-2355 and its host gene KLF7 in immunobiology of cervical cancer
ανά: Samia, Nure Sharaf Nower
Έκδοση: (2021) -
Machine learning as an indicator for breast cancer prediction
ανά: Shadman, Tahsin Mohammed, κ.ά.
Έκδοση: (2019) -
Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
ανά: Bhuiyan, Mazedul Haque, κ.ά.
Έκδοση: (2021) -
Breast cancer prediction using different machine learning models
ανά: Khandker Al- Muhaimin, κ.ά.
Έκδοση: (2020)