Articles with "stage deep" as a keyword



Automatic Segmentation of Pneumothorax in Chest Radiographs Based on a Two-Stage Deep Learning Method

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Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"

DOI: 10.1109/tcds.2020.3035572

Abstract: Pneumothorax is common but a life-threatening thoracic disease, which is difficult to diagnose based on chest X-ray images due to its subtle characteristics and low contrast of the disease regions. We aim to develop a… read more here.

Keywords: stage deep; two stage; pneumothorax; segmentation ... See more keywords

NTSDCN: New Three-Stage Deep Convolutional Image Demosaicking Network

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Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2020.3040082

Abstract: In this letter, we compose a new three-stage deep convolutional neural network (NTSDCN) for image demosaicking, and it consists of our proposed Laplacian energy-constrained local residual unit (LC-LRU) and a feature-guided prior fusion unit (FG-PFU).… read more here.

Keywords: image; three stage; network; new three ... See more keywords

Two-Stage Deep Regression Enhanced Depth Estimation From a Single RGB Image

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Published in 2022 at "IEEE Transactions on Emerging Topics in Computing"

DOI: 10.1109/tetc.2020.3034559

Abstract: Depth estimation plays a significant role in industrial applications, e.g., augmented reality, robotic mapping and autonomous driving. Traditional approaches for capturing depth, such as laser or depth sensor based methods, are difficult to use in… read more here.

Keywords: regression; deep regression; stage deep; depth ... See more keywords

A two-stage deep-learning model for determination of the contact of mandibular third molars with the mandibular canal on panoramic radiographs

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Published in 2024 at "BMC Oral Health"

DOI: 10.1186/s12903-024-04850-1

Abstract: This study aimed to assess the accuracy of a two-stage deep learning (DL) model for (1) detecting mandibular third molars (MTMs) and the mandibular canal (MC), and (2) classifying the anatomical relationship between these structures… read more here.

Keywords: mtms mcs; panoramic radiographs; radiographs; stage deep ... See more keywords

VDE-Net: a two-stage deep learning method for phase unwrapping.

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Published in 2022 at "Optics express"

DOI: 10.1364/oe.469312

Abstract: Phase unwrapping is a critical step to obtaining a continuous phase distribution in optical phase measurements and coherent imaging techniques. Traditional phase-unwrapping methods are generally low performance due to significant noise or undersampling. This paper… read more here.

Keywords: stage deep; net two; phase unwrapping; two stage ... See more keywords