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An automatic detection and localization of mammographic microcalcifications ROI with multi-scale features using the radiomics analysis approach
Simple Summary Breast cancer is one of the foremost causes of cancer-related mortality in
women. It is curable and controllable only if detected early. Microcalcifications in breast …
women. It is curable and controllable only if detected early. Microcalcifications in breast …
Architectural distortion-based digital mammograms classification using depth wise convolutional neural network
Simple Summary Breast cancer is leading cancer increases the death rate in women. Early
diagnosis of breast cancer in women can save their lives. The current study proposed a …
diagnosis of breast cancer in women can save their lives. The current study proposed a …
Breast cancer mass classification using machine learning, binary-coded genetic algorithms and an ensemble of deep transfer learning
The diagnosis of breast cancer (BC) as early as possible is crucial for increasing the survival
rate. Mammography enables finding the breast tissue changes years before they could …
rate. Mammography enables finding the breast tissue changes years before they could …
A review on machine learning techniques for the assessment of image grading in breast mammogram
Breast cancer is the 2nd leading cancer of death among women around the world. In Asia
and Africa due to low income, the mortality rates are very high as compared to Europe and …
and Africa due to low income, the mortality rates are very high as compared to Europe and …
High Accuracy Microcalcifications Detection of Breast Cancer Using Wiener LTI Tophat Model
In order to avoid cancer, it is imperative that microcalcification in the breast be found. It is
sufficiently small to be difficult to discern with the unassisted eye. Computer-based detection …
sufficiently small to be difficult to discern with the unassisted eye. Computer-based detection …
Classification of mammogram masses using GLCM on LBP and non-overlap** blocks of varying sizes
Classification of benign and malignant masses in mammograms is a challenging task in the
development of computer-aided diagnosis (CAD) system. Feature extraction particularly is …
development of computer-aided diagnosis (CAD) system. Feature extraction particularly is …
Process modelling (bpm) in healthcare–breast cancer screening
I Terras Marques, C Santos, V Santos - … , UAHCI 2020, Held as Part of the …, 2020 - Springer
Breast cancer is a malignant epithelial neoplasm and it is a public health problem that has
high incidence and mortality in women. Focusing the clinical performance on processes is …
high incidence and mortality in women. Focusing the clinical performance on processes is …
Precancerous microcalcification detection of breast cancer mammogram images using linear time-invariant filtering Wiener method with Tophat transformation
R Jamil, M Dong, S Bano, A Javed, M Abdullah - 2023 - researchsquare.com
Breast microcalcifications, tiny calcium salt deposits, can develop anywhere in the breast
tissue. Breast microcalcifications are a frequent mammographic finding. For a proper …
tissue. Breast microcalcifications are a frequent mammographic finding. For a proper …
Mammogram Mass Classification: A CNN-Based Technique Applied to Different Age Groups
SM Obaidullah, H Mukherjee, A Dhar… - … Conference on Recent …, 2021 - Springer
Abstract The World Health Organization (WHO) reports that breast cancer is one of the most
frequent cancers among women, affecting almost 2.1 million women/year. As a …
frequent cancers among women, affecting almost 2.1 million women/year. As a …
Student Dropout Risk Detection at University of Évora
SS Prite - 2021 - search.proquest.com
Currently, student dropout is a global problem in higher education affecting the results of
education systems. In addition to providing state-of-the-art education, any institution needs …
education systems. In addition to providing state-of-the-art education, any institution needs …