[HTML][HTML] Radiomics analysis on contrast-enhanced spectral mammography images for breast cancer diagnosis: A pilot study
Contrast-enhanced spectral mammography is one of the latest diagnostic tool for breast
care; therefore, the literature is poor in radiomics image analysis useful to drive the …
care; therefore, the literature is poor in radiomics image analysis useful to drive the …
An automatic mass detection system in mammograms based on complex texture features
SC Tai, ZS Chen, WT Tsai - IEEE journal of biomedical and …, 2013 - ieeexplore.ieee.org
It is difficult for radiologists to identify the masses on a mammogram because they are
surrounded by complicated tissues. In current breast cancer screening, radiologists often …
surrounded by complicated tissues. In current breast cancer screening, radiologists often …
[HTML][HTML] Mammography image-based diagnosis of breast cancer using machine learning: a pilot study
A tumor is an abnormal tissue classified as either benign or malignant. A breast tumor is one
of the most common tumors in women. Radiologists use mammograms to identify a breast …
of the most common tumors in women. Radiologists use mammograms to identify a breast …
A novel computer-aided diagnosis system for breast MRI based on feature selection and ensemble learning
W Lu, Z Li, J Chu - Computers in biology and medicine, 2017 - Elsevier
Breast cancer is a common cancer among women. With the development of modern medical
science and information technology, medical imaging techniques have an increasingly …
science and information technology, medical imaging techniques have an increasingly …
Feature extraction and classification algorithm, which one is more essential? An experimental study on a specific task of vibration signal diagnosis
Q Liu, J Zhang, J Liu, Z Yang - International Journal of Machine Learning …, 2022 - Springer
With the development of machine learning, a data-driven model has been widely used in
vibration signal fault diagnosis. Most data-driven machine learning algorithms are built …
vibration signal fault diagnosis. Most data-driven machine learning algorithms are built …
Meta Analysis of Human Body Diseases with the Application of Machine Learning
N Verma, T Sharma, B Kaur - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Machine learning in medical applications is one of the focus areas of the researchers these
days. Machine Learning with the application of Artificial Intelligence is not only giving …
days. Machine Learning with the application of Artificial Intelligence is not only giving …
Breast cancer detection using intuitionistic fuzzy histogram hyperbolization and possibilitic fuzzy c-mean clustering algorithms with texture feature based classification …
CL Chowdhary, DP Acharjya - Proceedings of the international …, 2016 - dl.acm.org
During past 20 years, it is stated that cancer belongings are mounting all-inclusive. Amid
innumerable natures of cancers, breast cancer is witnessed as key reason of demise among …
innumerable natures of cancers, breast cancer is witnessed as key reason of demise among …
A Novel Statistical Feature Analysis‐Based Global and Local Method for Face Recognition
Face recognition from an image/video has been a fast‐growing area in research community,
and a sizeable number of face recognition techniques based on texture analysis have been …
and a sizeable number of face recognition techniques based on texture analysis have been …
Texture analysis of masses malignant in mammograms images using a combined approach of diversity index and local binary patterns distribution
Abstract A World Health Organization (WHO) report estimates that in 2015, at least 561
thousand women will die of breast cancer. Although breast cancer is considered a disease …
thousand women will die of breast cancer. Although breast cancer is considered a disease …
Extraction of fuzzy rules at different concept levels related to image features of mammography for diagnosis of breast cancer
M Goudarzi, K Maghooli - Biocybernetics and Biomedical Engineering, 2018 - Elsevier
Mammography is an inexpensive and non-invasive method through which one can
diagnose breast cancer in its early stages. As these images need interpretation by a …
diagnose breast cancer in its early stages. As these images need interpretation by a …