Results 31 to 40 of about 533,095 (268)

Advanced Feature Extraction for Cervical Cancer Image Classification: Integrating Neural Feature Extraction and AutoInt Models

open access: yesSensors
Cervical cancer remains a significant global public health challenge, affecting over half a million women annually, with a mortality rate of approximately 60%, especially in resource-limited regions.
Muhammad Amjad Raza   +6 more
doaj   +1 more source

UAT: Universal Attention Transformer for Video Captioning

open access: yesSensors, 2022
Video captioning via encoder–decoder structures is a successful sentence generation method. In addition, using various feature extraction networks for extracting multiple features to obtain multiple kinds of visual features in the encoding process is a ...
Heeju Im, Yong-Suk Choi
doaj   +1 more source

Evidence‐Informed Multidisciplinary Consensus Guidance for the Psychosocial Care of Adolescents With High‐Risk Cancer: Recommendations From the Italian Association of Pediatric Hematology and Oncology

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with high‐risk cancer face complex developmental, psychosocial, and ethical challenges that extend beyond disease‐directed treatment. Although international recommendations exist for communication, psychosocial care, pediatric palliative care, survivorship, and shared decision‐making, these have largely evolved within ...
Johanna M. C. Blom   +15 more
wiley   +1 more source

Improved SURF−FLANN feature extraction and matching algorithm for video stitching of fully-mechanized working face

open access: yesMeitan xuebao
The SURF (Speed Up Robust Features) feature extraction algorithm and FLANN (Fast Library or Approximate Nearest Neighbors) feature matching algorithm in current video stitching technology have the problems of feature point extraction errors and low ...
Qinghua MAO   +3 more
doaj   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld   +5 more
wiley   +1 more source

Lightweight transformer image feature extraction network [PDF]

open access: yesPeerJ Computer Science
In recent years, the image feature extraction method based on Transformer has become a research hotspot. However, when using Transformer for image feature extraction, the model’s complexity increases quadratically with the number of tokens entered.
Wenfeng Zheng   +4 more
doaj   +2 more sources

Color Feature Based Dominant Color Extraction

open access: yesIEEE Access, 2022
The dominant colors in an image can be used for image search, color editing, palette generation, and several other applications. Conventionally, dominant colors are extracted using clustering or histogram-based methods.
Youngha Chang, Nobuhiko Mukai
doaj   +1 more source

Language, Culture, and Cancer: Qualitative Insights Into Communication Disparities Among Spanish‐Speaking Caregivers of Children With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Latino children are projected to make up nearly one‐third of United States (US) children by 2060, and many of their caregivers speak Spanish. Prior survey research has documented communication difficulties for Spanish‐speaking caregivers of children with cancer, but contemporary qualitative data are limited.
Jenny Ruiz   +6 more
wiley   +1 more source

IMPROVING SIFT FOR IMAGE FEATURE EXTRACTION

open access: yesStudia Universitatis Babes-Bolyai: Series Informatica, 2017
This paper reviews a classical image feature extraction algorithm, namely SIFT (i.e. Scale Invariant Feature Transform) and modifies it in order to increase its repeatability score.
Renata DEAK   +2 more
doaj   +1 more source

Biphasic Clinical Course of Pediatric Cytomegalovirus‐Associated Immune Thrombocytopenia: Early Poor Treatment Response but Favorable Long‐Term Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad   +9 more
wiley   +1 more source

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