Results 31 to 40 of about 2,393,011 (281)

Manifold-valued Image Generation with Wasserstein Generative Adversarial Nets

open access: yes, 2019
Generative modeling over natural images is one of the most fundamental machine learning problems. However, few modern generative models, including Wasserstein Generative Adversarial Nets (WGANs), are studied on manifold-valued images that are frequently ...
Huang, Zhiwu, Van Gool, Luc, Wu, Jiqing
core   +1 more source

Enhancing Panax notoginseng Leaf Disease Classification with Inception-SSNet and Image Generation via Improved Diffusion Model

open access: yesAgronomy
The rapid and accurate classification of Panax notoginseng leaf diseases is vital for timely disease control and reducing economic losses. Recently, image classification algorithms have shown great promise for plant disease diagnosis, but dataset ...
Ruoxi Wang   +5 more
doaj   +1 more source

A Codebook Generation Algorithm for Document Image Compression

open access: yes, 1997
Pattern-matching-based document-compression systems (e.g. for faxing) rely on finding a small set of patterns that can be used to represent all of the ink in the document.
Danskin, John, Young, Neal, Zhang, Qin
core   +1 more source

Enhanced Cross-stage-attention U-Net for esophageal target volume segmentation

open access: yesBMC Medical Imaging
Purpose The segmentation of target volume and organs at risk (OAR) was a significant part of radiotherapy. Specifically, determining the location and scale of the esophagus in simulated computed tomography images was difficult and time-consuming ...
Xiao Lou   +5 more
doaj   +1 more source

Denoising Diffusion-Based Image Generation Model Using Principal Component Analysis

open access: yesIEEE Access
In recent years, advancements in GPU technology and increased data collection have significantly enhanced the performance of artificial intelligence and image generation models.
Myung Keun Song   +5 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

AIF_Pix2Pix: An Ocean Front Airborne Infrared Image Generation Model

open access: yesIEEE Access
We present an airborne infrared front Pix2Pix (AIF_Pix2Pix) model, which generates airborne infrared images of ocean fronts via inputs processed by a front region mask and region brightness perturbations.
Liming Yuan   +7 more
doaj   +1 more source

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie   +4 more
wiley   +1 more source

Multi-Instance Sketch to Image Synthesis With Progressive Generative Adversarial Networks

open access: yesIEEE Access, 2019
Real-world images usually contain multiple objects, as a result, generating an image from a multi-instance sketch is an attractive research topic. However, existing generative networks usually produce a similar texture on different instances for those ...
Zhi-Hui Wang   +4 more
doaj   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy