The latest edition of the WHO classification of the central nervous system was published in
2021. This review summarizes the major revisions to the classification of anterior pituitary …

Invasiveness in pituitary adenomas has been defined and investigated from multiple
perspectives, with varying results when its predictive value is considered. A systematic …

A brain tumor is a mass of abnormal cells in the brain. Brain tumors can be benign
(noncancerous) or malignant (cancerous). Conventional diagnosis of a brain tumor by the …

Deep learning is frequently used to classify medical images. Surgeons may know the type of
tumor before doing surgery on a patient. Transfer learning was used to alleviate the …

Pituitary adenomas (PA) are the second most common intracranial tumors. These
neoplasms are classified according to the hormone they produce. The majority of PA occur …

Somatostatin (SST) is a small peptide that exerts inhibitory effects on a wide range of
neuroendocrine cells. Due to the fact that somatostatin regulates cell growth and hormone …

Purpose The type of pituitary adenoma (PA) cannot be clearly recognized with preoperative
magnetic resonance imaging (MRI) but can be classified with immunohistochemical staining …

Pituitary adenomas are unique in multiple ways. They are rarely malignant in terms of
metastases; yet, they may be aggressive. Their cancerous potential is defined in a classic …

Pituitary tumors are very complex and heterogeneous and have a very wide range of
proliferative and aggressive behaviors, and how to define and classify these tumors remains …

In recent years, deep learning has been applied to many medical imaging fields, including
medical image processing, bioinformatics, medical image classification, segmentation, and …