Results 51 to 60 of about 3,152,858 (268)
Brain tumor multi classification and segmentation in MRI images using deep learning [PDF]
This study proposes a deep learning model for the classification and segmentation of brain tumors from magnetic resonance imaging (MRI) scans. The classification model is based on the EfficientNetB1 architecture and is trained to classify images into four classes: meningioma, glioma, pituitary adenoma, and no tumor.
arxiv
Recurrent Acromegaly in a Patient With a CHEK2 Mutation
Background/Objective: CHEK2 is a cell-cycle checkpoint kinase and is part of the ATM-CHEK2-p53 cascade, which is protective against carcinogenesis. We describe a germline CHEK2 mutation in a patient with acromegaly and other tumors.
Milica Perosevic, MD+3 more
doaj
Pituitary tumors contain a side population with tumor stem cell-associated characteristics.
Pituitary adenomas cause significant endocrine and mass-related morbidity. Little is known about the mechanisms that underlie pituitary tumor pathogenesis.
Freya Mertens+14 more
semanticscholar +1 more source
Preoperative Volume Determination for Pituitary Adenoma [PDF]
The most common sellar lesion is the pituitary adenoma, and sellar tumors are approximately 10-15% of all intracranial neoplasms. Manual slice-by-slice segmentation takes quite some time that can be reduced by using the appropriate algorithms. In this contribution, we present a segmentation method for pituitary adenoma.
arxiv +1 more source
Template-Cut: A Pattern-Based Segmentation Paradigm [PDF]
We present a scale-invariant, template-based segmentation paradigm that sets up a graph and performs a graph cut to separate an object from the background. Typically graph-based schemes distribute the nodes of the graph uniformly and equidistantly on the
Egger, Jan+3 more
core +3 more sources
Background Trigeminal neuralgia (TN) is a common cause of craniofacial pain. The retrosigmoid approach is usually used to treat TN, but no cases of endoscopic far-lateral supracerebellar infratentorial approach (EF-SCITA) were used to undergo operation ...
Hong Yao+5 more
doaj +1 more source
Incident Angle Study for Designing an Endoscopic Tool for Intraoperative Brain Tumor Detection [PDF]
In neurosurgical procedures maximizing the resection of tumor tissue while avoiding healthy tissue is of paramount importance and a difficult task due to many factors, such as surrounding eloquent brain. Swiftly identifying tumor tissue for removal could increase surgical outcomes.
arxiv
How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020
Adenohypophyseal tumors, which were recently renamed pituitary neuroendocrine tumors (PitNET), are mostly benign, but may present various behaviors: invasive, “aggressive” and malignant with metastases.
J. Trouillas+5 more
semanticscholar +1 more source
A middle cerebral artery ischemic stroke occurring in a child with a large prolactinoma. [PDF]
Pituitary adenomas are rare in children, and often present with symptoms of headache, nausea or emesis, visual disturbance, or hormonal hypersecretion.
Amara, Dominic+3 more
core
QuickTumorNet: Fast Automatic Multi-Class Segmentation of Brain Tumors [PDF]
Non-invasive techniques such as magnetic resonance imaging (MRI) are widely employed in brain tumor diagnostics. However, manual segmentation of brain tumors from 3D MRI volumes is a time-consuming task that requires trained expert radiologists. Due to the subjectivity of manual segmentation, there is low inter-rater reliability which can result in ...
arxiv