Results 81 to 90 of about 93,650 (271)

Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models [PDF]

open access: yesE-pi UAI workshop (UAI 2023), 2023
Deep learning has emerged as a prominent field in recent literature, showcasing the introduction of models that utilize transfer learning to achieve remarkable accuracies in the classification of brain tumor MRI images. However, the majority of these proposals primarily focus on balanced datasets, neglecting the inherent data imbalance present in real ...
arxiv  

Acromegaly: pathogenesis & treatment [PDF]

open access: yes, 2019
Acromegaly is a multi-system disorder whose etiology is most often traced back to a growth hormone-secreting pituitary adenoma (PA). Growth hormone (GH) secretion promotes insulin-like growth factor 1 (IGF-1) release from peripheral tissues, leading to ...
Tilvawala, Megha
core  

A rare cause of recurrent spontaneous pneumothorax: Birt-hogg-dube syndrome [PDF]

open access: yes, 2018
Birt-Hogg-Dube (BHD) syndrome is an unusual disorder characterized by the triad of cutaneous lesions, renal tumors and lung cysts. In cases with BHD syndrome, the frequency of recurrent pneumothorax is increased due to presence of multiple lung cysts. It
Demirci, M.   +3 more
core   +1 more source

Predictive value of pituitary tumor morphology on outcomes and complications in endoscopic transsphenoidal surgery

open access: yesWorld Journal of Otorhinolaryngology-Head and Neck Surgery, 2022
Purpose Endoscopic transsphenoidal surgery (ETSS) is an increasingly utilized approach for resection of pituitary tumors. Prior studies have evaluated preoperative tumor size, location, and extent as prognostic factors for surgical resection.
Andrew T. Heffernan   +8 more
doaj   +1 more source

An L2-Normalized Spatial Attention Network For Accurate And Fast Classification Of Brain Tumors In 2D T1-Weighted CE-MRI Images [PDF]

open access: yesarXiv, 2023
We propose an accurate and fast classification network for classification of brain tumors in MRI images that outperforms all lightweight methods investigated in terms of accuracy. We test our model on a challenging 2D T1-weighted CE-MRI dataset containing three types of brain tumors: Meningioma, Glioma and Pituitary.
arxiv  

Temozolomide and Pituitary Tumors: Current Understanding, Unresolved Issues, and Future Directions

open access: yesFrontiers in Endocrinology, 2018
Temozolomide, an alkylating agent, initially used in the treatment of gliomas was expanded to include pituitary tumors in 2006. After 12 years of use, temozolomide has shown a notable advancement in pituitary tumor treatment with a remarkable improvement
Luis V. Syro   +5 more
doaj   +1 more source

Pituitary Adenoma Segmentation [PDF]

open access: yesarXiv, 2011
Sellar tumors are approximately 10-15% among all intracranial neoplasms. The most common sellar lesion is the pituitary adenoma. Manual segmentation is a time-consuming process that can be shortened by using adequate algorithms. In this contribution, we present a segmentation method for pituitary adenoma.
arxiv  

Whole-Exome Sequencing Study of Thyrotropin-Secreting Pituitary Adenomas [PDF]

open access: yes, 2018
学位記番号 ...
Santosh, Sapkota   +2 more
core  

Physicians' awareness of gadolinium retention and MRI timing practices in the longitudinal management of pituitary tumors::a "Pituitary Society" survey [PDF]

open access: yes, 2018
PURPOSE: In view of mounting attention related to possible brain retention of gadolinium-based contrast agents (GBCAs) in patients with normal renal function, our purpose was to detail results from a survey of pituitary experts to assess: 1) the timing ...
Fleseriu, Maria   +7 more
core   +1 more source

Matrix metalloproteinases and their tissue inhibitors as novel markers in invasive pituitary adenomas – a review

open access: yesJournal of Education, Health and Sport, 2019
Introduction: Pituitary adenomas are generally benign central nervous system neoplasms with still increasing prevalence, especially in younger people.
Joanna Szydełko   +2 more
doaj   +3 more sources

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