Intelligent hybrid deep learning model for breast cancer detection

X Wang, I Ahmad, D Javeed, SA Zaidi, FM Alotaibi… - Electronics, 2022 - mdpi.com
Breast cancer (BC) is a type of tumor that develops in the breast cells and is one of the most
common cancers in women. Women are also at risk from BC, the second most life …

Optimizing CNN‐LSTM hybrid classifier using HCA for biomedical image classification

AK Pradhan, K Das, D Mishra, P Chithaluru - Expert Systems, 2023 - Wiley Online Library
In medical science, imaging is the most effective diagnostic and therapeutic tool. Almost all
modalities have transitioned to direct digital capture devices, which have emerged as a …

Brain tumor classification using efficient deep features of MRI scans and support vector machine

AN Khan, H Nazarian, NA Golilarz… - … on wavelet active …, 2020 - ieeexplore.ieee.org
Brain cancer is a life-threatening disease and hampers the normal operation of the human
body. For correct diagnosis and methodical treatment planning, it is essential to detect the …

An intelligent method for online voltage stability margin assessment using optimized ANFIS and associated rules technique

A Ghaghishpour, A Koochaki - ISA transactions, 2020 - Elsevier
This paper puts forward an intelligent method for online voltage stability margin (VSM)
assessment based on optimal fuzzy system and feature selection technique, which has …

ORCA optimization algorithm: a new meta-heuristic tool for complex optimization problems

NA Golilarz, H Gao, A Addeh… - 2020 17th International …, 2020 - ieeexplore.ieee.org
In this paper, a new meta-heuristic algorithm called Orca Optimization Algorithm (OOA) is
proposed for complex and nonlinear optimization problems, especially practical engineering …

A gpu-based breast cancer detection system using single pass fuzzy c-means clustering algorithm

M Al-Ayyoub, SM AlZu'bi, Y Jararweh… - 2016 5th International …, 2016 - ieeexplore.ieee.org
Breast cancer is the most lethal type of cancer affecting women in the world. To improve the
life quality of women, an early detection of this malignancy is always promising because this …

[PDF][PDF] Hybrid approach to predict breast cancer using machine learning techniques

M Rathi, V Pareek - International Journal of Computer Science …, 2016 - academia.edu
The research is about the prediction of breast cancer using machine learning techniques.
Prediction of cancer type is one of the crucial aspect of statistical analysis. In the paper we …

A research about breast cancer detection using different neural networks and K-MICA algorithm

AA Kalteh, P Zarbakhsh, M Jirabadi… - Journal of cancer …, 2013 - journals.lww.com
Breast cancer is the second leading cause of death for women all over the world. The correct
diagnosis of breast cancer is one of the major problems in the medical field. From the …

Early detection of covid-19 disease using computed tomography images and optimized CNN-LSTM

MH Memon, NA Golilarz, J Li, M Yazdi… - … conference on wavelet …, 2020 - ieeexplore.ieee.org
Since the novel Coronavirus (COVID-19) pandemic showed up in China, it became a big
problem for health authorities to counter this life-threatening disease. Early light signs such …

Fuzzy analysis of breast cancer disease using fuzzy c-means and pattern recognition

I Muhic - Southeast Europe Journal of Soft Computing, 2013 - moodletest.ius.edu.ba
Breast cancer is the second largest cause of cancer deaths among women. At the same
time, it is also among the most curable cancer types if it can be diagnosed early. The …