Computer‐Aided Detection (CADe) and Segmentation Methods for Breast Cancer Using Magnetic Resonance Imaging (MRI)
Breast cancer continues to be a major health concern, and early detection is vital for
enhancing survival rates. Magnetic resonance imaging (MRI) is a key tool due to its …
enhancing survival rates. Magnetic resonance imaging (MRI) is a key tool due to its …
Challenges and Innovations in Breast Cancer Screening in India: A Review of Epidemiological Trends and Diagnostic Strategies
IN Weerarathna, A Luharia, A Uke… - International Journal of …, 2024 - Wiley Online Library
The intricate terrain of breast cancer (BC) in India is examined in this review, which also
looks at screening techniques, geographical differences, epidemiological trends, and …
looks at screening techniques, geographical differences, epidemiological trends, and …
[PDF][PDF] The application of artificial intelligence in breast cancer
The utilization of artificial intelligence (AI) in the detection and treatment of breast cancer is
attracting attention. AI technologies are crucial in sha** the future of breast surgery and …
attracting attention. AI technologies are crucial in sha** the future of breast surgery and …
DARKNET-53 convolutional neural network-based image processing for breast cancer detection
Breast cancer is a common type of cancer in women, denoted by the uncontrolled growth of
cells in breast tissue. Thus, manually detecting breast cancer is time-consuming and …
cells in breast tissue. Thus, manually detecting breast cancer is time-consuming and …
Ai-enhanced mammography with digital breast tomosynthesis for breast cancer detection: Clinical value and comparison with human performance
D Resch, R Lo Gullo, J Teuwen, F Semturs… - Radiology: Imaging …, 2024 - pubs.rsna.org
Purpose To compare two deep learning–based commercially available artificial intelligence
(AI) systems for mammography with digital breast tomosynthesis (DBT) and benchmark them …
(AI) systems for mammography with digital breast tomosynthesis (DBT) and benchmark them …
Refining breast cancer classification: Customized attention integration approaches with dense and residual networks for enhanced detection
Objective Breast cancer detection is critical for timely and effective treatment, and automatic
detection systems can significantly reduce human error and improve diagnosis speed. This …
detection systems can significantly reduce human error and improve diagnosis speed. This …
The Transformative Power of Digital Breast Tomosynthesis and Artificial Intelligence in Breast Cancer Diagnosis
The integration of Digital Breast Tomosynthesis (DBT) and Artificial Intelligence (AI)
represents a significant advance in breast cancer screening. This combination aims to …
represents a significant advance in breast cancer screening. This combination aims to …
Artificial Intelligence Techniques and Pedigree Charts in Oncogenetics: Towards an Experimental Multioutput Software System for Digitization and Risk Prediction
Pedigree charts remain essential in oncological genetic counseling for identifying
individuals with an increased risk of develo** hereditary tumors. However, this valuable …
individuals with an increased risk of develo** hereditary tumors. However, this valuable …
The application of traditional machine learning and deep learning techniques in mammography: a review
Y Gao, J Lin, Y Zhou, R Lin - Frontiers in Oncology, 2023 - frontiersin.org
Breast cancer, the most prevalent malignant tumor among women, poses a significant threat
to patients' physical and mental well-being. Recent advances in early screening technology …
to patients' physical and mental well-being. Recent advances in early screening technology …
Optimized Lightweight Architecture for Coronary Artery Disease Classification in Medical Imaging
A Abdusalomov, S Mirzakhalilov, S Umirzakova… - Diagnostics, 2025 - mdpi.com
Background/Objectives: The early and accurate detection of Coronary Artery Disease (CAD)
is crucial for preventing life-threatening complications, particularly among athletes engaged …
is crucial for preventing life-threatening complications, particularly among athletes engaged …