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.
Huvudupphovsmän: | Nawrin, Ishrat Nur, Trina, Tonusree Talukder |
---|---|
Övriga upphovsmän: | Rasel, Annajiat Alim |
Materialtyp: | Lärdomsprov |
Språk: | English |
Publicerad: |
Brac University
2023
|
Ämnen: | |
Länkar: | http://hdl.handle.net/10361/22000 |
Liknande verk
-
Potential of nanoparticles as a topical drug delivery system for skin cancer: a review
av: Islam, Karima
Publicerad: (2022) -
An enhanced CNN model for classifying skin cancer
av: Haider, Kazi MD Minhajul, et al.
Publicerad: (2022) -
Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study
av: Faisal, Shah
Publicerad: (2024) -
An efficient deep learning approach to detect skin Cancer
av: Islam, Ashfaqul, et al.
Publicerad: (2022) -
Potential phytochemicals and dietary components for the prevention and treatment of skin cancer: A review
av: Muntaha, Habibatul
Publicerad: (2023)