Results 21 to 30 of about 2,415 (194)

Genomic analysis as a tool to infer disparate phylogenetic origins of dysembryoplastic neuroepithelial tumors and their satellite lesions

open access: yesScientific Reports, 2023
Dysembryoplastic neuroepithelial tumor (DNET) is a low-grade brain tumor commonly associated with drug-resistant epilepsy. About half of DNETs are accompanied by tiny nodular lesions separated from the main mass. The existence of these satellite lesions (
Yeajina Lee   +7 more
doaj   +1 more source

A Memory-Efficient Learning Framework for Symbol Level Precoding With Quantized NN Weights

open access: yesIEEE Open Journal of the Communications Society, 2023
This paper proposes a memory-efficient deep neural network (DNN) framework-based symbol level precoding (SLP). We focus on a DNN with realistic finite precision weights and adopt an unsupervised deep learning (DL) based SLP model (SLP-DNet).
Abdullahi Mohammad   +2 more
doaj   +1 more source

Intraventricular dysembryoplastic neuroepithelial tumor in the temporal horn with Broad involvement of the ependyma

open access: yesClinical Case Reports, 2021
Key Clinical Message Though typical dysembryoplastic neuroepithelial tumors (DNETs) are located in the cerebral cortex, an atypical DNET could occur in the temporal horn of the lateral ventricle and broadly involve the ependyma.
Luying Li   +3 more
doaj   +1 more source

Lethal disseminated dysembryoplastic neuroepithelial tumor following West Nile virus: Report of a very unusual combination

open access: yesRadiology Case Reports, 2018
Dysembryoplastic neuroepithelial tumors (DNETs) are typically benign World Health Organization (WHO) grade I tumors of the cortical or deep gray matter with a favorable prognosis.
Amy Farkas, MD   +4 more
doaj   +1 more source

Dysembryoplastic Neuroepithelial Tumor: A Rare Brain Tumor with Excellent Seizure Control after Surgical Resection

open access: yesIndian Journal of Neurosurgery, 2022
Introduction Dysembryoplastic neuroepithelial tumor (DNET) is a rare cause of intractable epilepsy, which has excellent results in terms of seizure control after surgical resection. We present one such case, because of its rarity, to highlight the effect
Rajnish Kumar Arora   +5 more
doaj   +1 more source

Endoscopic mucosal resection using a ligation device for duodenal neuroendocrine tumors: a simple method

open access: yesTherapeutic Advances in Gastrointestinal Endoscopy, 2022
Introduction: Duodenal neuroendocrine tumors (DNETs) smaller than 1 cm in diameter, without invasion to the muscularis propria, have a low risk of metastasis. Therefore, DNETs are frequently resected endoscopically. However, among the various procedures,
Yasuhiro Inokuchi   +7 more
doaj   +1 more source

DNet-CNet: a novel cascaded deep network for real-time lane detection and classification

open access: yes, 2022
Robust understanding of the lane position and type is essential for changing lanes in autonomous vehicles. However, accomplishing this task in real time with high level of precision is not trivial.
Bin Kong   +13 more
core   +1 more source

Depression associated with dysembryoblastic neuroepithelial tumor

open access: yesIndian Journal of Psychological Medicine, 2012
Dysembryoblastic neuroepithelial tumor (DNET), a benign, rare tumor of the brain, commonly presents with generalized or partial epilepsy, post-epilepsy sequelae of psychotic, depressive or anxiety symptoms or disorders, or is usually asymptomatic.
Anand Lingeswaran, Deepak Barathi
doaj   +1 more source

PAPILLARY GLIONEURONAL TUMOR: A CASE REPORT & REVIEW OF LITERATURE [PDF]

open access: yesPan Arab Journal of Neurosurgery, 2023
BackgroundPapillary glioneuronal tumors (PGNT) are rare, with only around 140 cases being reported since this tumor was first described in the fourth edition of the WHO classification of tumors of the central nervous system.
Shankar Ayyappan Kutty   +2 more
doaj   +1 more source

A Whole-Slide Image Managing Library Based on Fastai for Deep Learning in the Context of Histopathology: Two Use-Cases Explained

open access: yesApplied Sciences, 2021
Background: Processing whole-slide images (WSI) to train neural networks can be intricate and labor intensive. We developed an open-source library dealing with recurrent tasks in the processing of WSI and helping with the training and evaluation of ...
Christoph Neuner   +7 more
doaj   +1 more source

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