Results 151 to 160 of about 9,112 (254)
Abstract The accurate alignment of serial histological sections is essential for preserving anatomical continuity in 3D reconstruction. Although automated registration tools can efficiently correct global alignment errors, they often fail to resolve local misalignments caused by sectioning artifacts, tissue deformation, staining variability, or missing
Satoru Muro +3 more
wiley +1 more source
Brain Tumor Classification and Segmentation in MR Images Using EfficientNet and U-Net++ Models. [PDF]
Alkharaan R +3 more
europepmc +1 more source
Financial/Social Trade‐Offs in Dual‐Purpose Companies
Abstract Dual‐purpose companies (DPCs) encounter numerous financial and social trade‐offs in their operations. However, existing research has not fully explored the heterogeneity and antecedents of these trade‐offs. To bridge this gap, we first distinguish between scenarios in which trade‐offs are mitigated or intensified, and then categorize the ...
Fengbin Wang +3 more
wiley +1 more source
A comprehensive image dataset of jute diseases. [PDF]
Islam MM, Sheikh MR.
europepmc +1 more source
Adaptability in Innovation Management: A Meta‐Analysis
ABSTRACT Academic Summary As firms navigate dynamic technological, market, and institutional environments, adaptability—and related notions such as flexibility and agility—have become central to innovation management. Yet, the literature is conceptually fragmented: multiple labels are applied with overlapping but inconsistent content, and few studies ...
Felix Hoch +4 more
wiley +1 more source
Deep Learning-Based Segmentation of the Ulnar Nerve in Ultrasound Images. [PDF]
Webster MB +4 more
europepmc +1 more source
ABSTRACT Objectives To develop a deep learning‐based framework to automate sector classification of unerupted maxillary canines (UMCs), assessing its accuracy and reliability compared to human ones. Material and Methods One thousand five hundred twenty‐eight UMCs from digital panoramic radiographs (PRs) were selected using data from the Dental ...
Marzio Galdi +7 more
wiley +1 more source
A Review on Image Processing and Fractal Analysis in Oral Potentially Malignant Disorders
ABSTRACT Aim The clinical evaluation of patients with oral potentially malignant disorders is primarily based on physical examination and observable clinical features. Clinical photographs play a key role in patient monitoring and help identify signs that may indicate malignant transformation.
André Goulart Poletto +10 more
wiley +1 more source
A deep learning framework for automated fracture detection and localization in radiographic images using convolutional neural networks. [PDF]
Lu J +5 more
europepmc +1 more source
Perceptual Priors Update Contextual Feedback Processing in V1
Abstract Contextual information and prior knowledge facilitate perceptual processing, improving our recognition of even distorted or obstructed visual inputs. As a result, neuronal processing elicited by identical sensory inputs varies depending on the context in which we encounter those inputs.
Yulia Y. Lazarova +3 more
wiley +1 more source

