In:
Journal of Soft Computing and Data Mining, Penerbit UTHM, Vol. 02, No. 01 ( 2021-04-15)
Kurzfassung:
This work develops an Artificial Neural Network (ANN) model for performing Breast Cancer (BC) classification tasks. The design of the model considers studying different ANN architectures from the literature and chooses the one with the best performance. This ANN model aims to classify BCcasesmore systematically and more quickly. It provides facilities in the field of medicine to detect breast cancer among women. TheANN classification model is able to achieve an average accuracy of 98.88 %with an average run time of0.182seconds.Using this model, the classification of BC can be carried out much more faster than manual diagnosisand with good enough accuracy
Materialart:
Online-Ressource
ISSN:
2716-621X
DOI:
10.30880/jscdm.2021.02.01
DOI:
10.30880/jscdm.2021.02.01.002
Sprache:
Unbekannt
Verlag:
Penerbit UTHM
Publikationsdatum:
2021
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