Results 91 to 100 of about 4,989 (196)

Deep Learning‐Based Automated Bowel Wall Thickness Measurement in Intestinal Ultrasound for Inflammatory Bowel Disease

JCC Plus, Volume 1, Issue 5, September 2026.
ABSTRACT Background and Aims Intestinal ultrasound (IUS) is used to monitor inflammatory bowel disease (IBD), but bowel wall thickness (BWT) measurements are operator dependent and hard to standardize. The aim was to develop a system for identifying the bowel wall and measuring BWT, while accounting for interobserver disagreement.
Jakob Hestbjerg Karrer, Jonatan Ruiz‐Molsgaard, Bjørn Leth Møller, Johan Burisch, Gorm Roager Madsen, Klaus Theede, Johan Fremberg Ilvemark, Bobby Zhao Sheng Lo, Bulat Ibragimov, Trine Boysen   +9 more
wiley   +1 more source

A Systematic Review and Taxonomy of Fall Detection in Geriatric Care: Current State, Challenges, and Applications

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of fall‐detection approaches and technologies in geriatric care. ABSTRACT This systematic review provides a critical examination of fall detection (FD) technologies in geriatric care, analyzing both technological innovations and implementation challenges across diverse healthcare environments.
Hamid Ali, Ji Zhang, Xiaohui Tao, Raj Gururajan, Xujuan Zhou, Yuquan Gan, Josh Jia‐Ching Ying   +6 more
wiley   +1 more source

Reliability, agreement and variability of a markerless computer vision algorithm for equine gait analysis under field conditions

Equine Veterinary Journal, Volume 58, Issue 5, Page 1467-1481, September 2026.
Abstract Background Computer vision‐based algorithms offer accessible alternatives for equine gait analysis but require thorough assessment under diverse conditions. Objectives To evaluate a proprietary vision‐based algorithm's reliability in measuring vertical displacement signals (VDS) at the eye, withers and croup, alongside groundline estimation ...
Karsten Key, Katja Berg, Jakob Kirkegaard, Kristian Ringkjær Andresen, Sabrina Skov Hansen   +4 more
wiley   +1 more source

Keypoint Detection Based on Curvature Grouping and Adaptive Sampling

IEEE Access
In the keypoint detection algorithm, the farthest point sampling methods and random sampling methods are usually used to select candidate points, then keypoints are screened out from the neighborhood of the candidate points.
Bifu Li, Yu Cheng, Weitong Li
doaj   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

RAPID: Real‐time animal pattern re‐identification on edge devices, an open‐source tool for field deployment

Methods in Ecology and Evolution, Volume 17, Issue 8, Page 2379-2394, August 2026.
Abstract Automatic re‐identification of animals has significant potential to address pressing ecological and conservation challenges through improved population monitoring, individual health assessment and detailed behavioural analyses. Although numerous computer‐vision‐based solutions have been proposed and many achieve high accuracy, most remain ...
András Zábó, Robinson Chaquinga, Jaime Palacios Pérez, Daniel Rubenstein, Máté Nagy, Aamir Ahmad   +5 more
wiley   +1 more source

RSCS6D: Keypoint Extraction-Based 6D Pose Estimation

Applied Sciences
In this work, we propose an improved network, RSCS6D, for 6D pose estimation from RGB-D images by extracting keypoint-based point clouds. Our key insight is that keypoint cloud can reduce data redundancy in 3D point clouds and accelerate the convergence ...
Weiyu Liu, Nan Di
doaj   +1 more source

Separable Facial Image Editing via Warping With Displacement Vectors

IEEE Access
Recent deep learning techniques have enabled simple methods of image editing through textual instructions; however, it remains challenging to perform specific and quantitative editing.
Ryusei Nishikawa, Chunzhi Gu, Haruka Takahashi, Shigeru Kuriyama   +3 more
doaj   +1 more source

Head pose estimation with particle swarm optimization‐based contrastive learning and multimodal entangled GCN

IET Image Processing
Head pose estimation is an especially challenging task due to the complexity nonlinear mapping from 2D feature space to 3D pose space. To address the above issue, this paper presents a novel and efficient head pose estimation framework based on particle ...
Yuanfeng Lian, Yinliang Shi, Zhaonian Liu, Bin Jiang, Xingtao Li   +4 more
doaj   +1 more source

Keypoint Promptable Re-Identification

Occluded Person Re-Identification (ReID) is a metric learning task that involves matching occluded individuals based on their appearance. While many studies have tackled occlusions caused by objects, multi-person occlusions remain less explored. In this work, we identify and address a critical challenge overlooked by previous occluded ReID methods: the
Vladimir Somers, Alexandre Alahi, Christophe De Vleeschouwer   +2 more
openaire   +2 more sources