A dual stage adaptive thresholding (DuSAT) for automatic mass detection in mammograms
Sign Up to like & getrecommendations! Published in 2017 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2016.10.026
Abstract: BACKGROUND AND OBJECTIVE Early detection and diagnosis of breast cancer through mammography screening reduces breast cancer mortality by around 20%. However it is often a complex process to differentiate abnormalities due to the ill-defined margins… read more here.
Keywords: dual stage; detection; adaptive thresholding; mass ... See more keywords
SFD-SLAM: a novel dynamic RGB-D SLAM based on saliency region detection
Sign Up to like & getrecommendations! Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad5b0e
Abstract: In dynamic environments, several simultaneous localization and mapping (SLAM) systems effectively utilize optical flow fields to distinguish dynamic from static feature points. Commonly, these systems leverage the amplitude information within the optical flow field to… read more here.
Keywords: detection; slam novel; slam; adaptive thresholding ... See more keywords
Single-Energy Retrospective Metal Artifact Reduction Using Adaptive Thresholding for Metal Implants in the Abdomen and Pelvis
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Computer Assisted Tomography"
DOI: 10.1097/rct.0000000000001013
Abstract: Objective To assess impact of single-energy metal artifact reduction (SEMAR) algorithm utilizing retrospective adaptive thresholding in reducing metal artifacts in the abdomen and pelvis. Methods In this prospective institutional review board–approved, Health Insurance Portability and… read more here.
Keywords: field; semar; metal; density ... See more keywords
Feature Detection and Matching With Linear Adjustment and Adaptive Thresholding
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3030183
Abstract: Image feature detection and matching technologies are crucial aspects in machine vision. However it is still facing the dilemma between fast operation for real-time application and robust matching. To address this issue, we propose a… read more here.
Keywords: adjustment; detection matching; image; adaptive thresholding ... See more keywords
Strain FBG-Based Sensor for Detecting Fence Intruders Using Machine Learning and Adaptive Thresholding
Sign Up to like & getrecommendations! Published in 2023 at "Sensors"
DOI: 10.3390/s23115015
Abstract: This paper demonstrates an intruder detection system using a strain-based optical fiber Bragg grating (FBG), machine learning (ML), and adaptive thresholding to classify the intruder as no intruder, intruder, or wind at low levels of… read more here.
Keywords: learning adaptive; machine learning; intruder; fence ... See more keywords