Search: onr:"swepub:oai:DiVA.org:miun-45757" >
Skin Cancer Classif...
-
Nie, YaliMittuniversitetet,Institutionen för elektronikkonstruktion
(author)
Skin Cancer Classification based on Cosine Cyclical Learning Rate with Deep Learning
- Article/chapterEnglish2022
Publisher, publication year, extent ...
-
IEEE,2022
-
printrdacarrier
Numbers
-
LIBRIS-ID:oai:DiVA.org:miun-45757
-
https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-45757URI
-
https://doi.org/10.1109/I2MTC48687.2022.9806568DOI
Supplementary language notes
-
Language:English
-
Summary in:English
Part of subdatabase
Classification
-
Subject category:ref swepub-contenttype
-
Subject category:kon swepub-publicationtype
Notes
-
Since early-stage skin cancer identification can improve melanoma prognosis and significantly reduce treatment costs, AI-based diagnosis systems might greatly benefit patients suffering from suspicious skin lesions. The study proposes a cosine cyclical learning rate with a skin cancer classification model to improve melanoma prediction. The contributions of models involve three critical CNNs, which are standard deep feature extraction modules for the skin cancer classification in this study (Vgg19, ResNet101 and InceptionV3). Each CNN model applies three different learning rates: fixed learning rate(LR), Cosine Annealing LR, and Cosine Annealing with WarmRestarts. HAM10000 is a large collection of publicly available dermoscopic images dataset used for our experiments. The performance of the proposed approach was appraised through comparative experiments. The outcome has indicated that the proposed method has high efficiency in diagnosing skin lesions with a cosine cyclical learning rate.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
-
Carratu, Marco
(author)
-
O'Nils, Mattias,1969-Mittuniversitetet,Institutionen för elektronikkonstruktion(Swepub:miun)matoni
(author)
-
Sommella, Paolo
(author)
-
Moise, Avoci Uqwiri
(author)
-
Lundgren, Jan,1977-Mittuniversitetet,Institutionen för elektronikkonstruktion(Swepub:miun)janlun
(author)
-
MittuniversitetetInstitutionen för elektronikkonstruktion
(creator_code:org_t)
Related titles
-
In:Conference Record - IEEE Instrumentation and Measurement Technology Conference: IEEE9781665483605
Internet link
Find in a library
To the university's database