HWDCNN: Multi-class recognition in breast histopathology with Haar wavelet decomposed image based convolution neural network
Among the predominant cancers, breast cancer is one of the main causes of cancer deaths
impacting women worldwide. However, breast cancer classification is challenging due to …
impacting women worldwide. However, breast cancer classification is challenging due to …
Breast tumour detection using machine learning: review of selected methods from 2015 to 2021
G Sharma, N **dal - Multimedia Tools and Applications, 2022 - Springer
Breast tumour is one of the leading causes of death among women worldwide. Researchers
are working hard to develop early and improved detection tools for breast tumour. Several …
are working hard to develop early and improved detection tools for breast tumour. Several …
Wavelet theory and application in communication and signal processing
N Al Bassam, V Ramachandran… - Wavelet …, 2021 - books.google.com
Wavelet analysis is the recent development in applied mathematics. For several
applications, Fourier analysis fails to provide tangible results due to non-stationary behavior …
applications, Fourier analysis fails to provide tangible results due to non-stationary behavior …
RETRACTED ARTICLE: Classification of ultrasound breast cancer tumor images using neural learning and predicting the tumor growth rate
VMK Rani, SS Dhenakaran - Multimedia Tools and Applications, 2020 - Springer
Ultrasound breast cancer tumor growth model is dependence on the cancer tumor growth
size on time. Breast cancer tumor progresses on its growth and evaluated to estimate the …
size on time. Breast cancer tumor progresses on its growth and evaluated to estimate the …
Exploring the potential of Radiomics in identification and treatment of lung cancer: A systematic evaluation
R Balekai, MS Holi - Multimedia Tools and Applications, 2024 - Springer
Lung cancer is one of the most serious and life-threatening diseases in the world. Imaging
modalities like computed tomography (CT) and Positron emission tomography (PET) play a …
modalities like computed tomography (CT) and Positron emission tomography (PET) play a …
Breast cancer identification using feature level fusion and hybrid GA-PSO optimized neural network
Breast cancer, being a critical disorder in urban women, needs to be screened as early as
possible for an effective treatment. In this study, the mammographic image analysis society …
possible for an effective treatment. In this study, the mammographic image analysis society …
Convolution neural network based approach for breast cancer type classification
T Kausar, MA Ashraf, A Kausar… - … Bhurban Conference on …, 2021 - ieeexplore.ieee.org
Breast cancer is ranked high amongst the main causes of death that badly effected women
worldwide. Cancer diagnosis is commonly carried out from Hematoxylin and Eison (H&E) …
worldwide. Cancer diagnosis is commonly carried out from Hematoxylin and Eison (H&E) …
Cancer detection in breast histopathology with convolution neural network based approach
Breast cancer is one of most common causes of mortality in women. However, few
limitations, eg, similar structure statistics in inter-class and textural variations in intra-class …
limitations, eg, similar structure statistics in inter-class and textural variations in intra-class …