[PDF][PDF] Breast cancer diagnosis: a survey of pre-processing, segmentation, feature extraction and classification.

ES Pour, M Esmaeili, M Romoozi - International Journal of …, 2022 - researchgate.net
Machine learning methods have been an interesting method in the field of medical for many
years, and they have achieved successful results in various fields of medical science. This …

Lightweight separable convolution network for breast cancer histopathological identification

GU Nneji, HN Monday, GT Mgbejime, VSR Pathapati… - Diagnostics, 2023 - mdpi.com
Breast cancer is one of the leading causes of death among women worldwide.
Histopathological images have proven to be a reliable way to find out if someone has breast …

Liver cancer risk quantification through an artificial neural network based on personal health data

A Ataei, J Deng, W Muhammad - Acta Oncologica, 2023 - Taylor & Francis
Background Liver cancer is one of the most common types of cancer and the third leading
cause of cancer-related deaths globally. The most common type of primary liver cancer is …

Estimation of Cancer Risk through Artificial Neural Network

K Aditya Shastry, HA Sanjay, N Balaji… - … and Data Science …, 2023 - Wiley Online Library
Cancer represents a widespread medical challenge that is being faced by the world. It is
being regularly explored by scientists and researchers due to its high rate of mortality. In the …