Hybrid feature selection of breast cancer gene expression microarray data based on metaheuristic methods: A comprehensive review

N Mohd Ali, R Besar, NA Ab. Aziz - Symmetry, 2022 - mdpi.com
Breast cancer (BC) remains the most dominant cancer among women worldwide. Numerous
BC gene expression microarray-based studies have been employed in cancer classification …

Development of symbolic expressions ensemble for breast cancer type classification using genetic programming symbolic classifier and decision tree classifier

N Anđelić, S Baressi Šegota - Cancers, 2023 - mdpi.com
Simple Summary Breast cancer is a type of cancer with several sub-types and correct sub-
type classification based on a large number of gene expressions is challenging even for …

A hybrid machine learning approach to screen optimal predictors for the classification of primary breast tumors from gene expression microarray data

N Alromema, AH Syed, T Khan - Diagnostics, 2023 - mdpi.com
The high dimensionality and sparsity of the microarray gene expression data make it
challenging to analyze and screen the optimal subset of genes as predictors of breast …

Feature selection methods in microarray gene expression data: A systematic mapping study

M Vahmiyan, M Kheirabadi, E Akbari - Neural Computing and Applications, 2022 - Springer
Feature selection (FS) is an important area of research in medicine and genetics. Cancer
classification based on the microarray gene expression data is a challenge in this area due …

Automatic Breast Tumor Diagnosis in MRI Based on a Hybrid CNN and Feature‐Based Method Using Improved Deer Hunting Optimization Algorithm

W Ha, Z Vahedi - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
Breast cancer is an unusual mass of the breast texture. It begins with an abnormal change in
cell structure. This disease may increase uncontrollably and affects neighboring textures …

[PDF][PDF] Comparison of Convolution Neural Network Architecture for Colon Cancer Classification.

ID Irawati, IA Larasaty… - International Journal of …, 2022 - pdfs.semanticscholar.org
In 2021, colon cancer is the second most common cause of death for this type of cancer.
Therefore, in this study, a colon cancer classification system was developed to help medical …

A Method of invasive alien plant identification based on hyperspectral images

X Qiao, X Liu, F Wang, Z Sun, L Yang, X Pu, Y Huang… - Agronomy, 2022 - mdpi.com
Invasive alien plants (IAPs) are considered to be one of the greatest threats to global
biodiversity and ecosystems. Timely and accurate detection technology is needed to identify …

Using the group method for the synthesis of copper/ZrO2 nanocomposites to achieve high wear resistance by ball milling and spark plasma sintering

M Shojaei, A Hasani, Z Amiri, GR Khayati - Ceramics International, 2022 - Elsevier
The use of ZrO 2 nanoparticles is common in the Cu matrix to manufacture Cu/ZrO 2
nanocomposites. Many approaches and parameters produce Cu/ZrO 2 nanocomposites …

[PDF][PDF] Identification of Flexural Modulus and Poisson's Ratio of Fresh Femoral Bone Based on a Finite Element Model.

K Nabudda, J Suriyawanakul… - … Journal of Online & …, 2022 - researchgate.net
Finite element analysis (FEA) is increasingly applied to medicine because it could increase
accuracy and rapid outcomes. However, there is a lack of the method to determine Young's …

Detection of Breast Cancer through the Analysis of Radiographic Images Using Machine Learning: A Systematic Review.

KYJ Ayala - International Journal of Online & Biomedical …, 2024 - search.ebscohost.com
Breast cancer is an illness that affects many women and can cause even death; this is a
case of not being detected on time, which could be due to a human error during the analysis …