An optimized model based on adaptive convolutional neural network and grey wolf algorithm for breast cancer diagnosis

Medical image classification (IC) is a method for categorizing images according to the appropriate pathological stage. It is a crucial stage in computer-aided diagnosis (CAD) systems, which were created to help radiologists with reading and analyzing medical images as well as with the early detectio...

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Veröffentlicht in:	PloS one 2024-08, Vol.19 (8), p.e0304868
Hauptverfasser:	Alnowaiser, Khaled, Saber, Abeer, Hassan, Esraa, Awad, Wael A
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adaptive algorithms Algorithms Artificial neural networks Biology and Life Sciences Breast cancer Breast Neoplasms - diagnosis Breast Neoplasms - diagnostic imaging Cancer Classification Computer and Information Sciences Datasets Diagnosis Diagnosis, Computer-Assisted - methods Disease Feature extraction Female Humans Image analysis Image classification Image processing Long short-term memory Mammography Mammography - methods Medical diagnosis Medical imaging Medicine and Health Sciences Neural networks Neural Networks, Computer Research and Analysis Methods ROC Curve Support Vector Machine Support vector machines Tumors Womens health
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