Open AccessBenchmarking of deep learning algorithms for skin cancer detection based on a hybrid framework of entropy and VIKOR techniques
Author(s) -
Baidaa Al-Bander,
Qahtan M. Yas,
Hussain Falih Mahdi,
Rwayda Kh. S. AlHamd
Publication year - 2021
Publication title -
turkish journal of electrical engineering and computer sciences/elektrik
Language(s) - English
Resource type - Journals
eISSN - 1303-6203
pISSN - 1300-0632
DOI - 10.3906/elk-2103-65
Subject(s) - benchmarking , computer science , artificial intelligence , deep learning , machine learning , algorithm , benchmark (surveying) , convolutional neural network , multiple criteria decision analysis , entropy (arrow of time) , data mining , mathematical optimization , mathematics , physics , geodesy , marketing , quantum mechanics , business , geography