[HTML][HTML] Handwritten devanagari manuscript characters recognition using capsnet

A Moudgil, S Singh, V Gautam, S Rani… - International Journal of …, 2023 - Elsevier
Manuscripts serve as a wealth of knowledge for future generations and are a useful source
of information for locating material from the Middle Ages. Ancient manuscripts can be found …

SELF: a stacked-based ensemble learning framework for breast cancer classification

AK Jakhar, A Gupta, M Singh - Evolutionary Intelligence, 2024 - Springer
Nowadays, breast cancer is the most prevalent and jeopardous disease in women after lung
cancer. During the past few decades, a substantial amount of cancer cases have been …

An efficient ensemble-based Machine Learning for breast cancer detection

R Kapila, S Saleti - Biomedical Signal Processing and Control, 2023 - Elsevier
Breast cancer is a very severe type of cancer that often develops in breast cells. Attempting
to develop an effective predictive model for breast cancer prognosis prediction is urgently …

Automatic machine learning model for enhanced partition and identification of breast disorders in breast MRI scan

H Singh, AK Rana, J Giri, MA Shah… - Computer Methods in …, 2024 - Taylor & Francis
The rapid identification and categorisation of breast cancers using low-contrast MRI images
presents a significant challenge due to the disease's prevalence among women of all ages …

Machine learning based approach for breast cancer detection

HS Hegde, A Kodipalli - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Breast cancer is one of the deadliest diseases faced by many women in the world. This
cancer is more common in women than men. Breast cancer is the 2 nd dangerous cancer …

[PDF][PDF] A Review on Machine Learning-assisted Digital Pathology Image Diagnosis of Breast Cancer

Q Xu - International Journal of Computational and … - acadpubl.com
Machine learning has great potential for assisted diagnosis of breast cancer digital
pathology images. By analyzing breast cancer images, machine learning algorithms can …