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.
Hauptverfasser: | Nawrin, Ishrat Nur, Trina, Tonusree Talukder |
---|---|
Weitere Verfasser: | Rasel, Annajiat Alim |
Format: | Abschlussarbeit |
Sprache: | English |
Veröffentlicht: |
Brac University
2023
|
Schlagworte: | |
Online Zugang: | http://hdl.handle.net/10361/22000 |
Ähnliche Einträge
-
Potential of nanoparticles as a topical drug delivery system for skin cancer: a review
von: Islam, Karima
Veröffentlicht: (2022) -
An enhanced CNN model for classifying skin cancer
von: Haider, Kazi MD Minhajul, et al.
Veröffentlicht: (2022) -
Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study
von: Faisal, Shah
Veröffentlicht: (2024) -
An efficient deep learning approach to detect skin Cancer
von: Islam, Ashfaqul, et al.
Veröffentlicht: (2022) -
Potential phytochemicals and dietary components for the prevention and treatment of skin cancer: A review
von: Muntaha, Habibatul
Veröffentlicht: (2023)