Results 81 to 90 of about 218,873 (322)
OBGESS: Automating Original Bender Gestalt Test Based on One Stage Deep Learning
Hand sketch psychological data are mysterious and can be used to detect mental disorders early and prevent them from getting worse and with irreversible consequences.
Maryam Fathi Ahmadsaraei +2 more
doaj +1 more source
Automatic action annotation in weakly labeled videos [PDF]
Manual spatio-temporal annotation of human action in videos is laborious, requires several annotators and contains human biases. In this paper, we present a weakly supervised approach to automatically obtain spatio-temporal annotations of an actor in action videos. We first obtain a large number of action proposals in each video.
Waqas Sultani, Mubarak Shah
openaire +3 more sources
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification [PDF]
Timo Schick +2 more
openalex +3 more sources
Application of automatic immunohistochemistry stainer in pathological diagnosis of glioma
Objective To investigate and evaluate the Ki ⁃ 67 expression in glioma pathological diagnosis by Leica BOND⁃MAXTM automatic immunohistochemistry stainer.
Ming⁃shi GAO, Hong CHEN, Jin⁃song WU
doaj
Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease
ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall +16 more
wiley +1 more source
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography (ALICE) [PDF]
Gurgen Soghoyan +8 more
openalex +1 more source
Contrastive Meta-Learner for Automatic Text Labeling and Semantic Textual Similarity
Generating large labeled datasets is a common barrier in machine learning efforts, with frequent challenges in both labeling and creating useful models for these datasets.
Ryan Cooper +2 more
doaj +1 more source
Quantifying the Impact of Ocrelizumab on Paramagnetic Rim Lesions in Multiple Sclerosis
ABSTRACT Paramagnetic rim lesions (PRLs) are a subset of chronic active multiple sclerosis (MS) lesions marked by iron‐laden microglia and macrophages. Ocrelizumab, a monoclonal antibody targeting CD20+ B cells, suppresses acute MS activity, but its effect on PRLs remains unclear. In a longitudinal study of 29 ocrelizumab‐treated patients with at least
Kimberly H. Markowitz +9 more
wiley +1 more source
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

