Results 181 to 190 of about 6,647,787 (296)

Semantic web-services or semantic-web services?

open access: yes, 2004
peer ...
Montebello, Matthew   +1 more
openaire   +1 more source

Comparison of Nationwide Volumes for Five Major Gastrointestinal Surgical Procedures in Japan: Implications From Publicly Available NCD and NDB Open Data

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim In Japan, the National Clinical Database (NCD), a clinician‐reported registry, and the National Database of Health Insurance Claims and Specific Health Checkups of Japan Open Data (NDB Open Data), an administrative claims database, are both widely used as nationwide surgical databases, but their consistency in capturing national surgical ...
Atomu Kiriyama   +3 more
wiley   +1 more source

Clinical utility of pharyngeal high‐resolution manometry with impedance for upper esophageal sphincter dysfunction in gastroenterology

open access: yesAdvances in Digestive Medicine, EarlyView.
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar   +5 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser   +6 more
wiley   +1 more source

MuscleAtlasExplorer: a web service for studying gene expression in human skeletal muscle. [PDF]

open access: yesDatabase (Oxford), 2020
Asplund O   +4 more
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu   +11 more
wiley   +1 more source

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