Modified osprey algorithm for optimizing capsule neural network in leukemia image recognition.
Sci Rep
; 14(1): 15402, 2024 07 04.
Article
em En
| MEDLINE
| ID: mdl-38965305
ABSTRACT
The diagnosis of leukemia is a serious matter that requires immediate and accurate attention. This research presents a revolutionary method for diagnosing leukemia using a Capsule Neural Network (CapsNet) with an optimized design. CapsNet is a cutting-edge neural network that effectively captures complex features and spatial relationships within images. To improve the CapsNet's performance, a Modified Version of Osprey Optimization Algorithm (MOA) has been utilized. Thesuggested approach has been tested on the ALL-IDB database, a widely recognized dataset for leukemia image classification. Comparative analysis with various machine learning techniques, including Combined combine MobilenetV2 and ResNet18 (MBV2/Res) network, Depth-wise convolution model, a hybrid model that combines a genetic algorithm with ResNet-50V2 (ResNet/GA), and SVM/JAYA demonstrated the superiority of our method in different terms. As a result, the proposed method is a robust and powerful tool for diagnosing leukemia from medical images.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Leucemia
/
Redes Neurais de Computação
Limite:
Humans
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article