Classification approach for breast cancer detection using back propagation neural network: a study
A Bhattacherjee, S Roy, S Paul, P Roy… - Deep learning and …, 2020 - igi-global.com
According to the recent surveys, breast cancer has become one of the major causes of
mortality rate among women. Breast cancer can be defined as a group of rapidly growing …
mortality rate among women. Breast cancer can be defined as a group of rapidly growing …
Green hydrothermal synthesis of carbon dot-silver nanocomposite from Chondrococcus hornemanni (marine algae): an application of mosquitocidal, anti-bacterial …
U Suresh, S Subhadra, S Sivaramakrishnan - Biomass Conversion and …, 2024 - Springer
Material scientists are becoming less and less optimistic about the use of renewable
resources in novel applications. In turn, there is significant promise for carbon dots (CDs) …
resources in novel applications. In turn, there is significant promise for carbon dots (CDs) …
Review methods for breast cancer detection using artificial intelligence and deep learning methods
M Naderan - System research and information technologies, 2021 - journal.iasa.kpi.ua
Nowadays, there are many related works and methods that use Neural Networks to detect
the breast cancer. However, usually they do not take into account the training time and the …
the breast cancer. However, usually they do not take into account the training time and the …
Early stage detection of malignant cells: A step towards better life
J Awatramani, N Hasteer - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Cancer is a collection of diseases, which is driven by change in cells of the body by
increasing the normal growth and control. Its prevalence is increasing year by year, and is …
increasing the normal growth and control. Its prevalence is increasing year by year, and is …
[HTML][HTML] A comparative study of locality preserving projection and principle component analysis on classification performance using logistic regression
AKA Abdelmajed - Journal of Data Analysis and Information Processing, 2016 - scirp.org
There are a variety of classification techniques such as neural network, decision tree,
support vector machine and logistic regression. The problem of dimensionality is pertinent to …
support vector machine and logistic regression. The problem of dimensionality is pertinent to …
[PDF][PDF] Imputing missing values in mammography mass dataset: Will it increase classification performance of machine learning algorithms
Mammography is one of the most effective methods for breast cancer screening and the
resulting images are normally reported using the BI-RADS standard. Missing values are …
resulting images are normally reported using the BI-RADS standard. Missing values are …