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.
Egile Nagusiak: | Nawrin, Ishrat Nur, Trina, Tonusree Talukder |
---|---|
Beste egile batzuk: | Rasel, Annajiat Alim |
Formatua: | Thesis |
Hizkuntza: | English |
Argitaratua: |
Brac University
2023
|
Gaiak: | |
Sarrera elektronikoa: | http://hdl.handle.net/10361/22000 |
Antzeko izenburuak
-
Potential of nanoparticles as a topical drug delivery system for skin cancer: a review
nork: Islam, Karima
Argitaratua: (2022) -
An enhanced CNN model for classifying skin cancer
nork: Haider, Kazi MD Minhajul, et al.
Argitaratua: (2022) -
Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study
nork: Faisal, Shah
Argitaratua: (2024) -
An efficient deep learning approach to detect skin Cancer
nork: Islam, Ashfaqul, et al.
Argitaratua: (2022) -
Potential phytochemicals and dietary components for the prevention and treatment of skin cancer: A review
nork: Muntaha, Habibatul
Argitaratua: (2023)