Reviewing ensemble classification methods in breast cancer

M Hosni, I Abnane, A Idri, JMC de Gea… - Computer methods and …, 2019 - Elsevier
Context Ensemble methods consist of combining more than one single technique to solve
the same task. This approach was designed to overcome the weaknesses of single …

[PDF][PDF] A comparative analysis of methods for detecting and diagnosing breast cancer based on data mining

AT Alhasani, H Alkattan, AA Subhi, ESM El-Kenawy… - Methods, 2023 - academia.edu
Breast cancer is a significant public health concern worldwide, and early detection is crucial
for its treatment. Although breast cancer has been extensively studied, there is still room for …

[HTML][HTML] Theory and practice of integrating machine learning and conventional statistics in medical data analysis

SK Dhillon, MD Ganggayah, S Sinnadurai, P Lio… - Diagnostics, 2022 - mdpi.com
The practice of medical decision making is changing rapidly with the development of
innovative computing technologies. The growing interest of data analysis with improvements …

A fuzzy rule‐based system with decision tree for breast cancer detection

V Gupta, H Gaur, S Vashishtha, U Das… - IET Image …, 2023 - Wiley Online Library
Breast cancer is possibly the deadliest illness in the world and the risks are gradually
increasing. One out of eight women has the chance to be detected with breast cancer in their …

Driver and Path Detection through Time‐Series Classification

ML Bernardi, M Cimitile, F Martinelli… - Journal of Advanced …, 2018 - Wiley Online Library
Driver identification and path kind identification are becoming very critical topics given the
increasing interest of automobile industry to improve driver experience and safety and given …

Classification techniques in breast cancer diagnosis: a systematic literature review

B ElOuassif, A Idri, M Hosni, A Abran - Computer Methods in …, 2021 - Taylor & Francis
Data mining (DM) consists in analysing a set of observations to find unsuspected
relationships and then summarising the data in new ways that are both understandable and …

Computational Techniques in PET/CT Image Processing for Breast Cancer: A Systematic Map** Review

K Carrasco, L Tomalá, E Ramírez Meza… - ACM Computing …, 2024 - dl.acm.org
The problem arises from the lack of sufficient and comprehensive information about the
necessary computer techniques. These techniques are crucial for develo** information …

[HTML][HTML] Develo** liver cancer drug response prediction system using late fusion of reduced deep features

M Hassan, S Ali, H Alquhayz, JY Kim… - Journal of King Saud …, 2022 - Elsevier
Liver cancer is a major cause of death, with a high mortality rate worldwide. For better
treatment and rehabilitation of liver cancer, assessing and evaluating drug delivery and …

Analysis of breast cancer classification robustness with radiomics feature extraction and deep learning techniques

HU Rashid, T Ibrikci, S Paydaş, F Binokay… - Expert …, 2022 - Wiley Online Library
Breast cancer and breast imaging diagnostic procedures are typically carried out using a
variety of imaging modalities, including mammography, MRI, and ultrasound. However …

Towards image-based cancer cell lines authentication using deep neural networks

D Mzurikwao, MU Khan, OW Samuel, J Cinatl Jr… - Scientific reports, 2020 - nature.com
Although short tandem repeat (STR) analysis is available as a reliable method for the
determination of the genetic origin of cell lines, the occurrence of misauthenticated cell lines …