Machine learning and computer vision based methods for cancer classification: A systematic review

SB Mukadam, HY Patil - Archives of Computational Methods in …, 2024 - Springer
Cancer remains a substantial worldwide health issue that requires careful and exact
classification to plan treatment in its early stages. Classical methods of cancer diagnosis …

An enhanced Predictive heterogeneous ensemble model for breast cancer prediction

S Nanglia, M Ahmad, FA Khan, NZ Jhanjhi - Biomedical Signal Processing …, 2022 - Elsevier
Breast Cancer is one of the most prevalent tumors after lung cancer and is common in both
women and men. This disease is mostly asymptomatic in the early stages thus detection is …

SEMeL-LR: An improvised modeling approach using a meta-learning algorithm to classify breast cancer

S Prusty, S Patnaik, SK Dash, SGP Prusty - Engineering Applications of …, 2024 - Elsevier
In the last two decades, cancer has continued to be prone to a larger extent in females
globally. In this regard, early prevention and treatment can help individuals to anticipate …

FCM-DCS: Fuzzy C means distorted contour-based segmentation model for breast cancer detection

B Krishnakumar, K Kousalya - Neurocomputing, 2024 - Elsevier
Breast cancer (BC) is a commonly diagnosed cancer among women nowadays. The cancer
cells in the breast tissues are known as BC. Comprehensive research on early-stage BC …

Segmentation of breast using ultrasound image for detection breast cancer

U Khasana, R Sigit, H Yuniarti - 2020 International Electronics …, 2020 - ieeexplore.ieee.org
Breast cancer condition when cancer cells form in breast tissue. Cancer can also form in fat
or connective tissue in the breast. Is a type of cancer that is deadly and difficult to detect at …

[HTML][HTML] Explainable Artificial Intelligence in Quantifying Breast Cancer Factors: Saudi Arabia Context

T Alelyani, MM Alshammari, A Almuhanna, O Asan - Healthcare, 2024 - mdpi.com
Breast cancer represents a significant health concern, particularly in Saudi Arabia, where it
ranks as the most prevalent cancer type among women. This study focuses on leveraging …

Soft classification techniques for breast cancer detection and classification

A Ivaturi, A Singh, B Gunanvitha… - 2020 International …, 2020 - ieeexplore.ieee.org
Breast cancer is known to be one of the most common cancers among women, often fatal.
The reasons for death are mainly due to imprecision or delay in diagnosis. Early treatment …

Classifying cyberattacks amid covid-19 using support vector machine

J Sultana, AK Jilani - Security Incidents & Response Against Cyber Attacks, 2021 - Springer
Internet plays dominant role amid Covid-19 pandemic as to meet day-to-day activities. As
education system, financial transactions, businesses, and social gatherings started to …

Telugu news data classification using machine learning approach

J Sultana - Handbook of Research on Advances in Data Analytics …, 2022 - igi-global.com
Mining Telugu news data and categorizing based on public sentiments is quite important
since a lot of fake news emerged with rise of social media. Identifying whether news text is …

Deep Learning based Breast cancer classification using Artificial Neural Network on Histopathological Images

G Ramkumar - 2023 Eighth International Conference on …, 2023 - ieeexplore.ieee.org
Because of its high prevalence and potential mortality, breast cancer has become a
prominent focus of medical study. Typically, a biopsy is performed, and the excised tissue is …