Results 41 to 50 of about 4,210,540 (287)

Weakly supervised learning of semantic colour terms

IET Computer Vision, 2014
Recognition of visual attributes in images allows an image's information content to be expressed textually. This has benefits for web search and image archiving, especially since visual attributes transcend language barriers.
David Hanwell, Majid Mirmehdi
doaj   +1 more source

Display-Semantic Transformer for Scene Text Recognition

Sensors, 2023
Linguistic knowledge helps a lot in scene text recognition by providing semantic information to refine the character sequence. The visual model only focuses on the visual texture of characters without actively learning linguistic information, which leads
Xinqi Yang, Wushour Silamu, Miaomiao Xu, Yanbing Li   +3 more
doaj   +1 more source

Neural ensemble decoding reveals a correlate of viewer- to object-centered spatial transformation in monkey parietal cortex [PDF]

, 2008
The parietal cortex contains representations of space in multiple coordinate systems including retina-, head-, body-, and world-based systems. Previously, we found that when monkeys are required to perform spatial computations on objects, many neurons in
Averbeck, BB, Chafee, MV, Crowe, DA
core   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

Wavelet-Based Topological Loss for Low-Light Image Denoising

Sensors
Despite significant advances in image denoising, most algorithms rely on supervised learning, with their performance largely dependent on the quality and diversity of training data.
Alexandra Malyugina, Nantheera Anantrasirichai, David Bull   +2 more
doaj   +1 more source

Fusion of Textural and Visual Information for Medical Image Modality Retrieval Using Deep Learning-Based Feature Engineering

IEEE Access, 2023
Medical image retrieval is essential to modern medical treatment because it enables doctors to diagnose and treat a variety of illnesses. In this study, we present an innovative technique for selecting the methodology of medical images by combining ...
Saeed Iqbal, Adnan N. Qureshi, Musaed Alhussein, Imran Arshad Choudhry, Khursheed Aurangzeb, Tariq M. Khan   +5 more
doaj   +1 more source

Radiotherapy Delivery in Deep Inspiration for Pediatric Patients—Final Results of the Phase II Feasibility Study TEDDI

Pediatric Blood &Cancer, EarlyView.
Abstract Introduction The TEDDI trial tested the feasibility and reproducibility of deep‐inspiration breath‐hold (DIBH) in pediatric patients referred for radiotherapy. This report presents final results, including patient‐reported outcomes (PRO) and dosimetric comparison of DIBH and free‐breathing (FB).
Daniella Elisabet Østergaard, Anni Young Lundgaard, Laura Ann Rechner, Danijela Dejanovic, Hanne Krogh Rose, Jolanta Hansen, Leila Vaalavirta, Miia Mokka, Marianne Aznar, Peder Skov Wehner, Lisa Lyngsie Hjalgrim, Maja Vestmø Maraldo   +11 more
wiley   +1 more source

Sensorless Real-Time Force Estimation in Microsurgery Robots Using a Time Series Convolutional Neural Network

IEEE Access, 2021
Robotic-assisted microsurgeries provide several benefits to both patients and surgeons. Nevertheless, there are still some limitations and challenges associated with their outcome, one of which is a lack of force feedback.
Jiuyun Xia, Kazuo Kiguchi
doaj   +1 more source

Exploring cognitive issues in visual information retrieval [PDF]

, 2001
A study was conducted that compared user performance across a range of search tasks supported by both a textual and a visual information retrieval interface (VIRI).
Chen, C, Cribbin, T
core   +2 more sources

Adaptive Filtering Enhances Information Transmission in Visual Cortex

, 2006
Sensory neuroscience seeks to understand how the brain encodes natural environments. However, neural coding has largely been studied using simplified stimuli.
A Kohn, AA Emondi, AB Saul, AL Fairhall, Andrei V. Kurgansky, BC Skottun, C Blakemore, D Chander, D Smyth, DG Albrecht, DJ Field, DJ Field, DL Ringach, DL Ruderman, DW Dong, EP Simoncelli, F Rieke, FE Theunissen, FE Theunissen, G Felsen, Hiroki Sugihara, I Ohzawa, JA Movshon, JD Victor, JJ Atick, Kenneth D. Miller, L Maffei, Michael P. Stryker, MJ Nolt, MJ Wainwright, MN Kvale, MP Sceniak, N Brenner, N Brenner, NC Rust, R Baddeley, R de Boer, R Shapley, RM Shapley, SA Baccus, Sergei P. Rebrik, SG Solomon, SM Smirnakis, SP Brown, SV David, T Hosoya, T Sharpee, Tatyana O. Sharpee, V Dragoi, Y Dan   +49 more
core   +1 more source