Results 61 to 70 of about 3,164,616 (286)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu +8 more
wiley +1 more source
Selective Style Transfer for Text [PDF]
2019 International Conference on Document Analysis and Recognition (ICDAR), 2019 This paper explores the possibilities of image style transfer applied to text maintaining the original transcriptions. Results on different text domains (scene text, machine printed text and handwritten text) and cross modal results demonstrate that this is feasible, and open different research lines.
Raul Gomez +5 more
openaire +3 more sources
Authorship style transfer with inverse transfer data augmentation
AI OpenAuthorship style transfer aims to modify the style of neutral text to match the unique speaking or writing style of a particular individual. While Large Language Models (LLMs) present promising solutions, their effectiveness is limited by the small ...
Zhonghui Shao +8 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba +29 more
wiley +1 more source
GLStyleNet: exquisite style transfer combining global and local pyramid features
IET Computer Vision, 2020 Recent studies using deep neural networks have shown remarkable success in style transfer, especially for artistic and photo‐realistic images. However, these methods cannot solve more sophisticated problems. The approaches using global statistics fail to
Zhizhong Wang +6 more
doaj +1 more source
Style Decomposition for Improved Neural Style Transfer
CoRR, 2018 Universal Neural Style Transfer (NST) methods are capable of performing style transfer of arbitrary styles in a style-agnostic manner via feature transforms in (almost) real-time. Even though their unimodal parametric style modeling approach has been proven adequate to transfer a single style from relatively simple images, they are usually not capable ...
Paraskevas Pegios +2 more
openaire +2 more sources
Out of Style: Misadventures with LLMs and Code Style Transfer [PDF]
<p>CSB: A Dataset and Benchmark for Code Style Transfer Tasks</p ...
Anonymous
core +3 more sources
, 2022 Style transfer using Generative adversarial networks (GANs) has been successful in recent publications. One field in style transfer is music style transfer, in which a piece of music is transformed in some way, be it through genre-, harmonic-, rhythmic ...
Sulaiman, Leif, Larsson, Sebastian
core +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques +5 more
wiley +1 more source
Robust Nonparametric Distribution Transfer with Exposure Correction for Image Neural Style Transfer
Sensors, 2020 Image neural style transfer is a process of utilizing convolutional neural networks to render a content image based on a style image. The algorithm can compute a stylized image with original content from the given content image but a new style from the ...
Shuai Liu +3 more
doaj +1 more source