Computer‐Aided Detection (CADe) and Segmentation Methods for Breast Cancer Using Magnetic Resonance Imaging (MRI)

P Jannatdoust, P Valizadeh, N Saeedi… - Journal of Magnetic …, 2025 - Wiley Online Library
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 …

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 …

[PDF][PDF] The application of artificial intelligence in breast cancer

N Nafissi, N Heiranizadeh, A Shirinzadeh-Dastgiri… - EJMO, 2024 - researchgate.net
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 …

DARKNET-53 convolutional neural network-based image processing for breast cancer detection

R Rajkumar, S Gopalakrishnan… - … Journal of Artificial …, 2024 - mesopotamian.press
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 …

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 …

Refining breast cancer classification: Customized attention integration approaches with dense and residual networks for enhanced detection

MS Alam, AH Efat, SMM Hasan, MP Uddin - Digital Health, 2025 - journals.sagepub.com
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 …

The Transformative Power of Digital Breast Tomosynthesis and Artificial Intelligence in Breast Cancer Diagnosis

V Freitas, S Ghai, F Au, D Muradali… - Canadian Association …, 2024 - journals.sagepub.com
The integration of Digital Breast Tomosynthesis (DBT) and Artificial Intelligence (AI)
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

L Conte, E Rizzo, T Grassi, F Bagordo, E De Matteis… - Computation, 2024 - mdpi.com
Pedigree charts remain essential in oncological genetic counseling for identifying
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 …

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 …