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Machine learning and deep learning techniques for breast cancer diagnosis and classification: a comprehensive review of medical imaging studies
Background Breast cancer is a major public health concern, and early diagnosis and
classification are critical for effective treatment. Machine learning and deep learning …
classification are critical for effective treatment. Machine learning and deep learning …
[PDF][PDF] Comprehensive study for breast cancer using deep learning and traditional machine learning
Breast cancer is one of the most dangerous diseases and the second largest cause of
women cancer death. Techniques and methods have been adopted for early indications of …
women cancer death. Techniques and methods have been adopted for early indications of …
WARM: a new breast masses classification method by weighting association rule mining
MR Keyvanpour, M Barani Shirzad… - Signal, Image and Video …, 2022 - Springer
Breast cancer is the growth of a malignant tumor in the breast. The incidence of this disease
in women has increased significantly in recent years. Currently, early detection is an …
in women has increased significantly in recent years. Currently, early detection is an …
Grad-CAM Guided preprocessing and convolutional neural network for efficient mammogram images classification
B Mohammed, A Anouar, B Nadjia - Informatica, 2024 - informatica.si
Breast cancer is now widely recognized as the second most deadly disease in women.
Computer Aided Diagnosis system (CAD), and specifically deep learning (DL), have …
Computer Aided Diagnosis system (CAD), and specifically deep learning (DL), have …
Review of Techniques Used in Computer-Aided Detection and Diagnosis for Breast Cancer Using Mammograms
C Salh, T Husssein, H Yahia… - 2024 1st International …, 2024 - ieeexplore.ieee.org
Breast Cancer (BC) is one of the most common and threatening diseases within the female
population. The early and accurate diagnosis of diseases is crucial in increasing the lives of …
population. The early and accurate diagnosis of diseases is crucial in increasing the lives of …
ASSOCIATION OF CHEST RADIOGRAPHIC GEOMETRIC CHANGES IN MEDIASTINUM WITH COVID-19 CONDITIONS
In this work, an attempt is made to investigate the association of geometric changes in
mediastinum and lungs with Coronavirus Disease-2019 (COVID-19) using chest …
mediastinum and lungs with Coronavirus Disease-2019 (COVID-19) using chest …
[HTML][HTML] Medical image classification using the discriminant power analysis (DPA) of discrete cosine transform (DCT) coefficients
Medical imaging systems are very important in medicine domain. They assist specialists to
make the final decision about the patient's condition, and strongly help in early cancer …
make the final decision about the patient's condition, and strongly help in early cancer …