AIMC Topic: Semantics

Clear Filters Showing 511 to 520 of 1420 articles

A morphometric analysis of the osteocyte canaliculus using applied automatic semantic segmentation by machine learning.

Journal of bone and mineral metabolism Mar 26, 2022
INTRODUCTION: Osteocytes play a role as mechanosensory cells by sensing flow-induced mechanical stimuli applied on their cell processes. High-resolution imaging of osteocyte processes and the canalicular wall are necessary for the analysis of this me...
Machine Learning Animals Imaging, Three-Dimensional Mice Semantics Femur Osteocytes
View on PubMed DOI

Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos.

Medical image analysis Mar 26, 2022
Out of all existing frameworks for surgical workflow analysis in endoscopic videos, action triplet recognition stands out as the only one aiming to provide truly fine-grained and comprehensive information on surgical activities. This information, pre...
Humans Neural Networks, Computer Laparoscopy Workflow Semantics
View on PubMed DOI

Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity.

NeuroImage Mar 24, 2022
Reconstructing natural images and decoding their semantic category from fMRI brain recordings is challenging. Acquiring sufficient pairs of images and their corresponding fMRI responses, which span the huge space of natural images, is prohibitive. We...
Humans Neural Networks, Computer Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Semantics
View on PubMed DOI

TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 21, 2022
The explanation for deep neural networks has drawn extensive attention in the deep learning community over the past few years. In this work, we study the visual saliency, a.k.a. visual explanation, to interpret convolutional neural networks. Compared...
Neural Networks, Computer Attention Semantics
View on PubMed DOI

Object-Based Reliable Visual Navigation for Mobile Robot.

Sensors (Basel, Switzerland) Mar 20, 2022
Visual navigation is of vital importance for autonomous mobile robots. Most existing practical perception-aware based visual navigation methods generally require prior-constructed precise metric maps, and learning-based methods rely on large training...
Algorithms Computer Simulation Reproducibility of Results Robotics Semantics
View on PubMed DOI

Graph-Powered Interpretable Machine Learning Models for Abnormality Detection in Ego-Things Network.

Sensors (Basel, Switzerland) Mar 15, 2022
In recent days, it is becoming essential to ensure that the outcomes of signal processing methods based on machine learning (ML) data-driven models can provide interpretable predictions. The interpretability of ML models can be defined as the capabil...
Machine Learning Semantics Ego
View on PubMed DOI

Bias-Eliminated Semantic Refinement for Any-Shot Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 8, 2022
When training samples are scarce, the semantic embedding technique, i. e., describing class labels with attributes, provides a condition to generate visual features for unseen objects by transferring the knowledge from seen objects. However, semantic...
Machine Learning Semantics
View on PubMed DOI

Semantic Segmentation Dataset for AI-Based Quantification of Clean Mucosa in Capsule Endoscopy.

Medicina (Kaunas, Lithuania) Mar 7, 2022
: Capsule endoscopy (CE) for bowel cleanliness evaluation primarily depends on subjective methods. To objectively evaluate bowel cleanliness, we focused on artificial intelligence (AI)-based assessments. We aimed to generate a large segmentation data...
Humans Neural Networks, Computer Artificial Intelligence Mucous Membrane Semantics Capsule Endoscopy
View on PubMed DOI

Semi-Supervised Deep Learning Semantic Segmentation for 3D Volumetric Computed Tomographic Scoring of Chronic Rhinosinusitis: Clinical Correlations and Comparison with Lund-Mackay Scoring.

Tomography (Ann Arbor, Mich.) Mar 7, 2022
BACKGROUND: The traditional Lund-Mackay score (TLMs) is unable to subgrade the volume of inflammatory disease. We aimed to propose an effective modification and calculated the volume-based modified LM score (VMLMs), which should correlate more strong...
Humans Tomography, X-Ray Computed Deep Learning Rhinitis Supervised Machine Learning Semantics Maxillary Sinus
View on PubMed DOI

Attributes learning network for generalized zero-shot learning.

Neural networks : the official journal of the International Neural Network Society Mar 5, 2022
In the absence of unseen training data, zero-shot learning algorithms utilize the semantic knowledge shared by the seen and unseen classes to establish the connection between the visual space and the semantic space, so as to realize the recognition o...
Machine Learning Algorithms Semantics Knowledge
View on PubMed DOI
Popular Topics
Recent Journals