Results 81 to 90 of about 2,415 (194)

Comprehensive RNA Analysis of the NF1 Gene in Classically Affected NF1 Affected Individuals Meeting NIH Criteria has High Sensitivity and Mutation Negative Testing is Reassuring in Isolated Cases With Pigmentary Features Only

EBioMedicine, 2016
Background: The detection rate for identifying the underlying mutation in neurocutaneous syndromes is affected by the sensitivity of the mutation test and the heterogeneity of the disease based on the diagnostic criteria. Neurofibromatosis type (NF1) has
D.G. Evans, N. Bowers, E. Burkitt-Wright, E. Miles, S. Garg, V. Scott-Kitching, M. Penman-Splitt, A. Dobbie, E. Howard, J. Ealing, G. Vassalo, A.J. Wallace, W. Newman, S.M. Huson   +13 more
doaj   +1 more source

SA-DNet: A on-demand semantic object registration network adapting to non-rigid deformation

, 2022
As an essential processing step before the fusing of infrared and visible images, the performance of image registration determines whether the two images can be fused at correct spatial position.
Xie, Housheng, Qiu, Junhui, Dai, Yuan, Xiang, Changcheng, Zhang, Yukuan, Yang, Yang   +5 more
core  

Characterization of low‐grade epilepsy‐associated tumor from implanted stereoelectroencephalography electrodes

Epilepsia Open
Low‐grade epilepsy‐associated tumors (LEATs) are a common cause of drug‐resistant epilepsy in children. Herein, we demonstrate the feasibility of using tumor tissue derived from stereoelectroencephalography (sEEG) electrodes upon removal to molecularly ...
Taylor A. Gatesman, Jasmine L. Hect, H. Westley Phillips, Brenden J. Johnson, Abigail I. Wald, Colleen McClung, Marina N. Nikiforova, John M. Skaugen, Ian F. Pollack, Taylor J. Abel, Sameer Agnihotri   +10 more
doaj   +1 more source

Dysembryoplastic neuropithelial tumor: a rare case report [PDF]

, 2017
Dysembryoplastic neuropithelial tumor (DNET) is a rare recently described, benign glioneural tumor frequently associated with intractable seizures in children and young adults which is important to recognise clinically and radiologically as it is ...
Yogi Raj Joshi, Hemant Jangid, Jangid, Hemant, Joshi, Yogi Raj, Shailesh Thanvi, Thanvi, Shailesh   +5 more
core   +1 more source

Embedded Deep Learning for Ship Detection and Recognition

Future Internet, 2019
Ship detection and recognition are important for smart monitoring of ships in order to manage port resources effectively. However, this is challenging due to complex ship profiles, ship background, object occlusion, variations of weather and light ...
Hongwei Zhao, Weishan Zhang, Haoyun Sun, Bing Xue   +3 more
doaj   +1 more source

CAU²DNet: A Dual-Branch Deep Learning Network and a Dataset for Slum Recognition with Multi-Source Remote Sensing Data

Remote Sensing
The efficient and precise identification of urban slums is a significant challenge for urban planning and sustainable development, as their morphological diversity and complex spatial distribution make it difficult to use traditional remote sensing ...
Xi Lyu, Chenyu Zhang, Lizhi Miao, Xiying Sun, Xinxin Zhou, Xinyi Yue, Zhongchang Sun, Yueyong Pang   +7 more
doaj   +1 more source

Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm

Visual Computing for Industry, Biomedicine, and Art
Skin lesion classification plays a crucial role in the early detection and diagnosis of various skin conditions. Recent advances in computer-aided diagnostic techniques have been instrumental in timely intervention, thereby improving patient outcomes ...
Taofik Ahmed Suleiman, Daniel Tweneboah Anyimadu, Andrew Dwi Permana, Hsham Abdalgny Abdalwhab Ngim, Alessandra Scotto di Freca   +4 more
doaj   +1 more source

Multiple time constants in a network architecture are required to capture the dependence of neural response on stimulus history.

, 2019
A. DNet model performance when large time constants are knocked out. B. Performance of the single-unit dynamic model. C. Number of effective hidden units (HUs) used to model each of the 73 neurons using the DNet model. D.
Ben D. B. Willmore (483582), Monzilur Rahman (6668129), Andrew J. King (207691), Nicol S. Harper (654802)   +3 more
core   +1 more source

Analysis of the Service - Oriented Digital Repository Architecture - DNET

, 2010
Jianxia M, Manghi P, Horstmann W, Summann F. 基于服务的开放数字仓储架构 ———DNET解析.
Jianxia, Ma, Summann, Friedrich ; https://orcid.org/, Manghi, Paolo, Horstmann, Wolfram   +3 more
core  

Advancing operational PM2.5 forecasting with dual deep neural networks (D-DNet) [PDF]

PM2.5 forecasting is crucial for public health, air quality management, and policy development. Traditional physics-based models are computationally demanding and slow to adapt to real-time conditions.
Fang, Fangxin, Navon, Ionel Michael, Wang, Yanghua, Peuch, Vincent-Henri, Cai, Shengjuan, Alexe, Mihai   +5 more
core   +1 more source