Results 101 to 110 of about 93,749 (369)

A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network [PDF]

Healthcare 2021, 9, 153
In this paper, we present a fully automatic brain tumor segmentation and classification model using a Deep Convolutional Neural Network that includes a multiscale approach. One of the differences of our proposal with respect to previous works is that input images are processed in three spatial scales along different processing pathways.
arxiv   +1 more source

Multi-Classification of Brain Tumor Images Using Transfer Learning Based Deep Neural Network [PDF]

Conference proceedings \c{opyright} 2023 International Conference on Artificial Intelligence for Smart Community, 2022
In recent advancement towards computer based diagnostics system, the classification of brain tumor images is a challenging task. This paper mainly focuses on elevating the classification accuracy of brain tumor images with transfer learning based deep neural network. The classification approach is started with the image augmentation operation including
arxiv  

A middle cerebral artery ischemic stroke occurring in a child with a large prolactinoma. [PDF]

, 2020
Pituitary adenomas are rare in children, and often present with symptoms of headache, nausea or emesis, visual disturbance, or hormonal hypersecretion.
Amara, Dominic, Clerkin, Patricia, Gupta, Nalin, Oh, Taemin   +3 more
core  

Template-Cut: A Pattern-Based Segmentation Paradigm [PDF]

, 2012
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, Freisleben, Bernd, Kapur, Tina, Nimsky, Christopher   +3 more
core   +3 more sources

Integration of an enhanced recovery after surgery program for patients undergoing pituitary surgery

World Journal of Otorhinolaryngology - Head and Neck Surgery, Volume 8, Issue 4, Page 330-338, December 2022., 2022
Abstract Evidence‐based enhanced recovery after surgery (ERAS) programs aim to improve patient outcomes and shorten hospital stays. The objective of this study is to describe the development, implementation, and evolution of an ERAS protocol to optimize the perioperative management for patients undergoing endoscopic skull base surgery for pituitary ...
Stephanie Flukes, Ilya Laufer, Jennifer Cracchiolo, Eliza Geer, Andrew L. Lin, Jess Brallier, Van Tsui, Anoushka Afonso, Viviane Tabar, Marc A. Cohen   +9 more
wiley   +1 more source

Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics

Scientific Data
Pituitary neuroendocrine tumors remain one of the most common intracranial tumors. While radiomic research related to pituitary tumors is progressing, public data sets for external validation remain scarce.
A. S. Pandit, A. Keenlyside, D. Z. Khan, G. Reischer, M. A. Kamal, N. Yoh, Z. Jaunmuktane, A. Borg, N. L. Dorward, S. E. Baldeweg, I. Davagnanam, H. Hyare, P. Nachev, H. J. Marcus   +13 more
doaj   +1 more source

Sellar plasmacytoma with massive bleeding during surgery

Cancer Treatment and Research Communications, 2022
Plasmacytoma in the sellar region is an extremely rare occurrence. Sellar plasmacytoma is often difficult to differentiate from pituitary tumors both clinically and radiologically.
Dong Hoon Lee, Jo Heon Kim, Woo Youl Jang, Shin Jung, Sang Chul Lim   +4 more
doaj  

Oral paltusotine, a nonpeptide selective somatostatin receptor 2 agonist: Mass balance, absolute bioavailability and metabolism in healthy participants

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aims Paltusotine is a novel, nonpeptide, selective somatostatin receptor 2 agonist in development for the treatment of acromegaly and carcinoid syndrome. This study investigated the mass balance, routes of excretion, absolute bioavailability and metabolite profile of orally administered paltusotine.
Rosa Luo, Ajay Madan, Christine T. Ferrara‐Cook, Deepak Dalvie, Lance Goulet, R. Scott Struthers, Alan S. Krasner   +6 more
wiley   +1 more source

An efficient deep learning model for brain tumour detection with privacy preservation

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman, Arslan Shafique, Imdad Ullah Khan, Yazeed Yasin Ghadi, Jawad Ahmad, Mohammed S. Alshehri, Mimonah Al Qathrady, Majed Alhaisoni, Muhammad H. Zayyan   +8 more
wiley   +1 more source

Deciphering the skeletal interoceptive circuitry to control bone homeostasis

BMEMat, EarlyView.
This review introduces the skeletal interoceptive circuitry, covering the ascending signals from bone tissues to the brain (sensors), the central neural circuits that integrate this information and dispatch commands (CPU), and the descending pathways that regulate bone homeostasis (effectors).
Yefeng Wu, Jiusi Guo, Zhen Chen, Fengwei Zhang, Billy Kwok Chong Chow, Zhuofan Chen, Kelvin Wai‐Kwok Yeung, Wei Qiao   +7 more
wiley   +1 more source