Thyroid nodule is one of the common life‐threatening diseases, and it had an increasing
trend over the last years. Ultrasound imaging is a commonly used diagnostic method for …

Simple Summary Lung cancer is the leading cause of malignancy-related mortality
worldwide. AI has the potential to help to treat lung cancer from detection, diagnosis and …

Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …

Simple Summary Molecular target therapy, ie, antiangiogenesis with bevacizumab, was
found to be effective in some patients of epithelial ovarian cancer. Considering the cost …

Deep learning technology has been used in the medical field to produce devices for clinical
practice. Deep learning methods in cytology offer the potential to enhance cancer screening …

Abstract Recently, Artificial Intelligence namely Deep Learning methods have revolutionized
a wide range of domains and applications. Besides, Digital Pathology has so far played a …

Simple Summary Early diagnosis and treatment of cancer is crucial for the survival of cancer
patients. Pathologists can use computational pathology techniques to make the diagnosis …

Overexpression of human epidermal growth factor receptor 2 (HER2/ERBB2) is identified as
a prognostic marker in metastatic breast cancer and a predictor to determine the effects of …

Deep learning systems (DLSs) have been developed for the histopathological assessment
of various types of tumors, but none are suitable for differential diagnosis between follicular …

Simple Summary In this study, we aimed to investigate the use of deep learning for
classifying whole-slide images of urine liquid-based cytology specimens into neoplastic and …