Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …

Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …

Background and objective Both mass detection and segmentation in digital mammograms
play a crucial role in early breast cancer detection and treatment. Furthermore, clinical …

Abstract Generative Adversarial Networks (GANs) have been widely applied in various
domains, including medical image analysis. GANs have been utilized in classification and …

Background Handcrafted radiomics and deep learning (DL) models individually achieve
good performance in lesion classification (benign vs malignant) on contrast-enhanced …

Abstract Background and Objective Computer-aided-detection (CAD) systems have been
developed to assist radiologists on finding suspicious lesions in mammogram. Deep …

Medical image segmentation plays a critical role in accurate diagnosis and treatment
planning, enabling precise analysis across a wide range of clinical tasks. This review begins …

A computer-aided diagnosis (CAD) system requires automated stages of tumor detection,
segmentation, and classification that are integrated sequentially into one framework to assist …

Breast cancer presents a substantial health obstacle since it is the most widespread invasive
cancer and the second most common cause of death in women. Prompt identification is …

Ultrasound imaging is commonly used to aid in fetal development. It has the advantage of
being real-time, low-cost, non-invasive, and easy to use. However, fetal organ detection is a …