Results 131 to 140 of about 105,297 (262)
An Enterprise Service Demand Classification Method Based on One-Dimensional Convolutional Neural Network with Cross-Entropy Loss and Enterprise Portrait. [PDF]
Zhou H, Chen J.
europepmc +1 more source
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Real-time single-molecule 3D tracking in E. coli based on cross-entropy minimization. [PDF]
Amselem E +4 more
europepmc +1 more source
Clinically Relevant Outcome Measures in Women With Adrenoleukodystrophy
ABSTRACT Adrenoleukodystrophy is a rare inherited peroxisomal disease caused by pathogenic variants in the ABCD1 gene located on the X chromosome. Although the most severe central nervous system and adrenal complications typically affect only men with adrenoleukodystrophy, the majority of women develop myeloneuropathy symptoms in adulthood.
Chenwei Yan +3 more
wiley +1 more source
Dilated Balanced cross entropy loss for medical image segmentation. [PDF]
Hosseini SM, Baghshah MS.
europepmc +1 more source
Multi-Task Transformer with Adaptive Cross-Entropy Loss for Multi-Dialect Speech Recognition. [PDF]
Dan Z, Zhao Y, Bi X, Wu L, Ji Q.
europepmc +1 more source
Meningovascular Inflammation in Cerebral Amyloid Angiopathy‐Related Cortical Superficial Siderosis
ABSTRACT The role of inflammation in cortical superficial siderosis (cSS), a marker of cerebral amyloid angiopathy (CAA) linked to high hemorrhage risk, is unclear. We examined 15 patients with cSS using 3 T post‐contrast vessel wall MRI (VWI) and CSF analysis.
Philipp Arndt +8 more
wiley +1 more source
Enhancing SDN security with deep learning and F-balanced cross-entropy for DDoS detection. [PDF]
Naeen HM, Ghadamyari M, Barmar M.
europepmc +1 more source

