A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
Päätekijät: | Nawrin, Ishrat Nur, Trina, Tonusree Talukder |
---|---|
Muut tekijät: | Rasel, Annajiat Alim |
Aineistotyyppi: | Opinnäyte |
Kieli: | English |
Julkaistu: |
Brac University
2023
|
Aiheet: | |
Linkit: | http://hdl.handle.net/10361/22000 |
Samankaltaisia teoksia
-
Potential of nanoparticles as a topical drug delivery system for skin cancer: a review
Tekijä: Islam, Karima
Julkaistu: (2022) -
An enhanced CNN model for classifying skin cancer
Tekijä: Haider, Kazi MD Minhajul, et al.
Julkaistu: (2022) -
Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study
Tekijä: Faisal, Shah
Julkaistu: (2024) -
An efficient deep learning approach to detect skin Cancer
Tekijä: Islam, Ashfaqul, et al.
Julkaistu: (2022) -
Potential phytochemicals and dietary components for the prevention and treatment of skin cancer: A review
Tekijä: Muntaha, Habibatul
Julkaistu: (2023)