A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data
Abstract Breast cancer is considered one of the significant health challenges and ranks among the most prevalent and dangerous cancer types affecting women globally. Early breast cancer detection and diagnosis are crucial for effective treatment and personalized therapy. Early detection and diagnosi...
Main Authors: | Tehnan I. A. Mohamed, Absalom E. Ezugwu, Jean Vincent Fonou-Dombeu, Abiodun M. Ikotun, Mohanad Mohammed |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-09-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-41731-z |
Similar Items
-
K-Means-Based Nature-Inspired Metaheuristic Algorithms for Automatic Data Clustering Problems: Recent Advances and Future Directions
by: Abiodun M. Ikotun, et al.
Published: (2021-11-01) -
A novel feature selection algorithm for identifying hub genes in lung cancer
by: Tehnan I. A. Mohamed, et al.
Published: (2023-12-01) -
Boosting k-means clustering with symbiotic organisms search for automatic clustering problems.
by: Abiodun M Ikotun, et al.
Published: (2022-01-01) -
Enhanced Firefly-K-Means Clustering with Adaptive Mutation and Central Limit Theorem for Automatic Clustering of High-Dimensional Datasets
by: Abiodun M. Ikotun, et al.
Published: (2022-11-01) -
Improved SOSK-Means Automatic Clustering Algorithm with a Three-Part Mutualism Phase and Random Weighted Reflection Coefficient for High-Dimensional Datasets
by: Abiodun M. Ikotun, et al.
Published: (2022-12-01)