Results 31 to 40 of about 1,091,165 (230)

DiffuPrompter: Pixel-Level Automatic Annotation for High-Resolution Remote Sensing Images with Foundation Models

open access: yesRemote Sensing
Instance segmentation is pivotal in remote sensing image (RSI) analysis, aiding in many downstream tasks. However, annotating images with pixel-wise annotations is time-consuming and laborious.
Huadong Li   +3 more
doaj   +1 more source

A Multilabel Learning-Based Automatic Annotation Method for Semantic Roles in English Text

open access: yesIEEE Access, 2023
With the increasing amount of textual information in the Internet, smart semantic comprehension is a practical demand. Among, automatic annotation for semantic roles remains the fundamental part for effective semantic comprehension.
Li Lei, Hao Wang
doaj   +1 more source

Automatic annotation and performance evaluation of orchard pear fruit using SAM-based zero-shot segmentation

open access: yesSmart Agricultural Technology
High-quality annotated data are essential for training high-performance models; therefore, the automatic annotation of instance segmentation training datasets helps improve model development efficiency and reduce development costs.
Xiaole Wang   +18 more
doaj   +1 more source

Human and automatic annotation of discourse relations for Arabic [PDF]

open access: yes, 2012
This thesis describes the first, inter-disciplinary, study on human and automatic discourse annotation for explicit discourse connectives in Modern Standard Arabic (MSA).
Alsaif, Amal
core   +6 more sources

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider   +15 more
wiley   +1 more source

A Semi-Automatic Magnetic Resonance Imaging Annotation Algorithm Based on Semi-Weakly Supervised Learning

open access: yesSensors
The annotation of magnetic resonance imaging (MRI) images plays an important role in deep learning-based MRI segmentation tasks. Semi-automatic annotation algorithms are helpful for improving the efficiency and reducing the difficulty of MRI image ...
Shaolong Chen, Zhiyong Zhang
doaj   +1 more source

JSON-LD Based Web API Semantic Annotation Considering Distributed Knowledge

open access: yesIEEE Access, 2020
Based on semantically annotated Web APIs, automatic Web API composition can be implemented easily. The operation can greatly improve efficiency of building a software system. However, in real world, semantic annotation for Web APIs will encounter various
Xianghui Wang, Qian Sun, Jinlong Liang
doaj   +1 more source

Experience With Performing Rheocarna Therapy via the Single‐Needle Method for Treatment of Chronic Limb‐Threatening Ischemia

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi   +9 more
wiley   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin   +2 more
wiley   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

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