[PDF][PDF] Exploiting the Performance of Marine Predators Optimization Algorithm in Combination with Neural Network Classifiers for Breast Mass Classification.

H Singh, V Sharma, D Singh - International Journal of Intelligent …, 2022 - researchgate.net
Recently, breast cancer has achieved top position in terms of cause of mortality among
women of all age groups by surpassing the lung cancer. To improve the survival rate, timely …

Breast cancer diagnosis using Orca predation optimization algorithm

P Kaladevi, VV Punitha… - Journal of Intelligent …, 2023 - content.iospress.com
Early detection and classification of breast cancer can be facilitated to initiate the most
effective treatment. As the second leading cause of death among women, early breast …

[HTML][HTML] An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm

EH Houssein, MM Emam, AA Ali - Neural computing and applications, 2022 - Springer
Breast cancer is the second leading cause of death in women; therefore, effective early
detection of this cancer can reduce its mortality rate. Breast cancer detection and …

[HTML][HTML] Intelligent Breast Mass Classification Approach Using Archimedes Optimization Algorithm with Deep Learning on Digital Mammograms

M Basheri - Biomimetics, 2023 - mdpi.com
Breast cancer (BC) has affected many women around the world. To accomplish the
classification and detection of BC, several computer-aided diagnosis (CAD) systems have …

Breast cancer diagnosis from mammographic images using optimized feature selection and neural network architecture

E Shivhare, V Saxena - International Journal of Imaging …, 2021 - Wiley Online Library
Breast cancer is one of the deadly diseases in women that have raised the mortality rate of
women. An accurate and early detection of breast cancer using mammogram images is still …

Two-Stage Feature Selection Method Created for 20 Neurons Artificial Neural Networks for Automatic Breast Cancer Detection

JJ Patel, SK Hadia - Trends in Sciences, 2023 - tis.wu.ac.th
Breast cancer is a common deadly diseases in women. Initial recognition of breast cancer
using mammogram images is a challenging task. Hence, this paper proposed a unique …

Automatic breast cancer detection based on optimized neural network using whale optimization algorithm

H Fang, H Fan, S Lin, Z Qing… - International Journal of …, 2021 - Wiley Online Library
Breast cancer is the second deadliest type of cancer. Early detection of breast cancer can
considerably improve the effectiveness of treatment. A significant early sign of breast cancer …

Automated mammogram breast cancer detection using the optimized combination of convolutional and recurrent neural network

RS Patil, N Biradar - Evolutionary intelligence, 2021 - Springer
The objective of this study is to frame mammogram breast detection model using the
optimized hybrid classifier. Image pre-processing, tumor segmentation, feature extraction …

Optimized radial basis neural network for classification of breast cancer images

GM Rajathi - Current Medical Imaging, 2021 - ingentaconnect.com
Background: Breast cancer is a curable disease if diagnosed at an early stage. The chances
of having breast cancer are the lowest in married women after the breast-feeding phase …

A new framework for early diagnosis of breast cancer using mammography images

S Aymaz - Neural Computing and Applications, 2024 - Springer
Breast cancer is one of the most common types of cancer in women. This type of cancer can
be detected and treated at an early stage, and the quality of life of sick individuals can …