This review gives an overview of the current state of deep learning research in breast cancer
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …

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

Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …

Deep learning (DL) is one of the most powerful data-driven machine-learning techniques in
artificial intelligence (AI). It can automatically learn from raw data without manual feature …

Neuroblastoma is one of the most common pediatric cancers. This study used machine
learning (ML) to predict the mortality and a few other investigated intermediate outcomes of …

Methods Two authors independently conducted a comprehensive search of PubMed,
Google Scholar, EMBASE, and Cochrane CENTRAL databases from January 1, 1950, to …

The integration of deep learning (DL) in breast MRI has revolutionized the field of medical
imaging, notably enhancing diagnostic accuracy and efficiency. This review discusses the …

Manually segmenting breast lesion images poses a labor-intensive and expensive
undertaking for radiologists. Therefore, the adoption of an automated diagnostic approach …

新辅助化疗有助于提高乳腺癌患者的后期存活率, 但疗效评估具有一定滞后性,
准确的新辅助化疗疗效评估可以给医师更有效的临床建议, 实施更优化的治疗方案 …

Gynecological cancers are characterized by a high mortality rate when chemoresistance
develops. Autophagy collaborates with apoptosis and participates in homeostasis of …