Results 61 to 70 of about 8,058,581 (353)

Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction [PDF]

open access: yesComputer Vision and Pattern Recognition, 2019
We present MonoPSR, a monocular 3D object detection method that leverages proposals and shape reconstruction. First, using the fundamental relations of a pinhole camera model, detections from a mature 2D object detector are used to generate a 3D proposal
Jason Ku   +2 more
semanticscholar   +1 more source

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa   +8 more
wiley   +1 more source

Assessing Geometry Perception of Direct Time-of-Flight Sensors for Robotic Safety

open access: yesSensors
Time-of-flight sensors have emerged as a viable solution for real-time distance sensing in robotic safety applications due to their compact size, fast response, and contactless operation. This study addresses one of the key challenges with time-of-flight
Jakob Gimpelj, Marko Munih
doaj   +1 more source

KeyShip: Towards High-Precision Oriented SAR Ship Detection Using Key Points

open access: yesRemote Sensing, 2023
Synthetic Aperture Radar (SAR) is an all-weather sensing technology that has proven its effectiveness for ship detection. However, detecting ships accurately with oriented bounding boxes (OBB) on SAR images is challenging due to arbitrary ship ...
Junyao Ge   +5 more
doaj   +1 more source

Curvature based shape detection

open access: yesComputational Geometry, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro   +11 more
wiley   +1 more source

A New Algorithm for Shape Detection

open access: yes, 2017
: Humans usually have some default shapes which the eye could recognize and know what they are, so vision is an important thing in human knowledge. The same operation applied in machines and computers because the software must recognize the shape before ...
H. Zangana
semanticscholar   +1 more source

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm   +11 more
wiley   +1 more source

On Using Physical Analogies for Feature and Shape Extraction in Computer Vision

open access: yes, 2008
There is a rich literature of approaches to image feature extraction in computer vision. Many sophisticated approaches exist for low- and high-level feature extraction but can be complex to implement with parameter choice guided by experimentation, but ...
Hurley, David   +7 more
core   +1 more source

Varroa Mite Counting Based on Hyperspectral Imaging

open access: yesSensors
Varroa mite infestation poses a severe threat to honeybee colonies globally. This study investigates the feasibility of utilizing the HS-Cam and machine learning techniques for Varroa mite counting.
Amira Ghezal   +2 more
doaj   +1 more source

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