Results 61 to 70 of about 3,152,858 (268)
Residual Tumor Confers a 10-Fold Increased Risk of Regrowth in Clinically Nonfunctioning Pituitary Tumors. [PDF]
, 2019 ObjectiveWe evaluated tumor recurrence and regrowth rates following endoscopic transnasal transsphenoidal (TNTS) surgical removal in a consecutive series of clinically nonfunctioning pituitary adenomas (CNFTs).DesignRetrospective chart review of clinical,
Bergsneider, Marvin +10 more
core +1 more source
AIP and MEN1 mutations and AIP immunohistochemistry in pituitary adenomas in a tertiary referral center. [PDF]
, 2019 Background: Pituitary adenomas have a high disease burden due to tumor growth/ invasion and disordered hormonal secretion. Germline mutations in genes such as MEN1 and AIP are associated with early onset of aggressive pituitary adenomas that can be ...
Cano González, David A. +2 more
core
Brain Tumor MRI Classification using a Novel Deep Residual and Regional CNN [PDF]
arXiv, 2022 Brain tumor classification is crucial for clinical analysis and an effective treatment plan to cure patients. Deep learning models help radiologists to accurately and efficiently analyze tumors without manual intervention. However, brain tumor analysis is challenging because of its complex structure, texture, size, location, and appearance.
arxiv
Multi-Classification of Brain Tumor Images Using Deep Neural Network
IEEE Access, 2019 Brain tumor classification is a crucial task to evaluate the tumors and make a treatment decision according to their classes. There are many imaging techniques used to detect brain tumors.
Hossam H. Sultan +2 more
semanticscholar +1 more source
Hybrid Model using Feature Extraction and Non-linear SVM for Brain Tumor Classification [PDF]
arXiv, 2022 It is essential to classify brain tumors from magnetic resonance imaging (MRI) accurately for better and timely treatment of the patients. In this paper, we propose a hybrid model, using VGG along with Nonlinear-SVM (Soft and Hard) to classify the brain tumors: glioma and pituitary and tumorous and non-tumorous.
arxiv
BMC Endocrine DisordersBackground We assessed the value of positron emission tomography/computed tomography (PET/CT) with [13N]N-ammonia ([13N]N-NH3) and [11C]C-methionine ([11C]C-MET) for the evaluation and management of recurrent secreting pituitary adenoma, which could not ...
Zongming Wang +6 more
doaj +1 more source
Case Reports in Endocrinology, 2013 Purpose. Adrenocorticotropin- (ACTH-) secreting pituitary carcinomas are rare and require multimodality treatment. The aim of this study was to report the response to various therapies and discuss the potential development of secondary adrenal ...
Robert Frank Cornell +9 more
doaj +1 more source
Journal of Clinical Endocrinology and Metabolism, 2012 BACKGROUND Mutations in the subunits B, C, and D of succinate dehydrogenase (SDH) mitochondrial complex II have been associated with the development of paragangliomas (PGL), gastrointestinal stromal tumors, papillary thyroid and renal carcinoma (SDHB ...
P. Xekouki +18 more
semanticscholar +1 more source
Thyroxine-binding globulin: investigation of microheterogeneity [PDF]
, 1981 Preparations of T4-binding globulin (TBG) from human serum was performed using only two affinity chromatography steps. Purity of the protein was demonstrated by a single band in overloaded disc and sodium dodecyl sulfate electrophoresis, equimolar ...
Gärtner, Roland +4 more
core +1 more source
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques [PDF]
arXiv, 2023 A brain tumor, whether benign or malignant, can potentially be life threatening and requires painstaking efforts in order to identify the type, origin and location, let alone cure one. Manual segmentation by medical specialists can be time-consuming, which calls out for the involvement of technology to hasten the process with high accuracy.
arxiv