Comparison of ELM, LSTM, and CNN Models in Breast Cancer Classification

• Main Authors: Silvia, Ratna, M., Muflih, Haldi, Budiman, Usman, Syapotro, Muhammad, Hamdani
• Format: Article
• Language: English; English
• Published: INTI International University 2024
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; RC0254 Neoplasms. Tumors. Oncology (including Cancer); T Technology (General)
• Online Access: http://eprints.intimal.edu.my/2054/1/jods2024_55.pdf; http://eprints.intimal.edu.my/2054/2/595; http://eprints.intimal.edu.my/2054/; http://ipublishing.intimal.edu.my/jods.html

Classification can significantly impact treatment decisions and patient outcomes. This study evaluates and compares the performance of three machine learning models Extreme Learning Machine (ELM), Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN) in breast cancer classificati...