Deep Transfer Learning‐Based Foot No‐Ball Detection in Live Cricket Match

S Das, T Mahmud, D Islam, M Begum… - Computational …, 2023 - Wiley Online Library
Automation in every part of life has become a frequent situation because of the rapid
advancement of technology, mostly driven by AI technology, and has helped facilitate …

Usefulness of machine learning and deep learning approaches in screening and early detection of breast cancer

M Ghorbian, S Ghorbian - Heliyon, 2023 - cell.com
Breast cancer (BC) is one of the most common types of cancer in women, and its prevalence
is on the rise. The diagnosis of this disease in the first steps can be highly challenging …

Cnn based multiclass brain tumor detection using medical imaging

P Tiwari, B Pant, MM Elarabawy… - Computational …, 2022 - Wiley Online Library
Brain tumors are the 10th leading reason for the death which is common among the adults
and children. On the basis of texture, region, and shape there exists various types of tumor …

[HTML][HTML] Optimized stacking ensemble learning model for breast cancer detection and classification using machine learning

M Kumar, S Singhal, S Shekhar, B Sharma… - Sustainability, 2022 - mdpi.com
Breast cancer is the most frequently encountered medical hazard for women in their forties,
affecting one in every eight women. It is the greatest cause of death worldwide, and early …

BrainNet: optimal deep learning feature fusion for brain tumor classification

U Zahid, I Ashraf, MA Khan, M Alhaisoni… - Computational …, 2022 - Wiley Online Library
Early detection of brain tumors can save precious human life. This work presents a fully
automated design to classify brain tumors. The proposed scheme employs optimal deep …

Privacy preserved cervical cancer detection using convolutional neural networks applied to pap smear images

S Alsubai, A Alqahtani, M Sha… - … Methods in Medicine, 2023 - Wiley Online Library
Image processing has enabled faster and more accurate image classification. It has been of
great benefit to the health industry. Manually examining medical images like MRI and X‐rays …

ECG classification for detecting ECG arrhythmia empowered with deep learning approaches

A Rahman, RN Asif, K Sultan, SA Alsaif… - Computational …, 2022 - Wiley Online Library
According to the World Health Organization (WHO) report, heart disease is spreading
throughout the world very rapidly and the situation is becoming alarming in people aged 40 …

Ensemble Learning‐Based Hybrid Segmentation of Mammographic Images for Breast Cancer Risk Prediction Using Fuzzy C‐Means and CNN Model

S Jha, S Ahmad, A Arya, B Alouffi… - Journal of …, 2023 - Wiley Online Library
The research interest in this field is that females are not aware of their health conditions until
they develop tumour, especially when breast cancer is concerned. The breast cancer risk …

Machine Learning Classification Algorithms for Accurate Breast Cancer Diagnosis

MS Alzboon, S Qawasmeh, M Alqaraleh… - … on Emerging Smart …, 2023 - ieeexplore.ieee.org
The introduction of algorithms based on machine learning (ML) has revolutionized computer
science by allowing machines to learn without explicit programming. These algorithms …

Development and validation of embedded device for electrocardiogram arrhythmia empowered with transfer learning

RN Asif, S Abbas, MA Khan, K Sultan… - Computational …, 2022 - Wiley Online Library
With the emergence of the Internet of Things (IoT), investigation of different diseases in
healthcare improved, and cloud computing helped to centralize the data and to access …