Conveyor Belt Damage Detection with the Use of a Two-Layer Neural Network
Applied Sciences, 2021 Non-invasive conveyor belt diagnostics in damage detection allows significant reductions of the costs related to belt replacement, as well as the evaluation of belt usability and wear degree changes over time.
Agata Kirjanów-Błażej +1 more
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Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection [PDF]
, 2019 Accurate pulmonary nodule detection is a crucial step in lung cancer screening. Computer-aided detection (CAD) systems are not routinely used by radiologists for pulmonary nodule detection in clinical practice despite their potential benefits.
Cui, Xiaonan +5 more
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Clone Detection and Elimination for Haskell [PDF]
, 2010 Duplicated code is a well known problem in software maintenance and refactoring. Code clones tend to increase program size and several studies have shown that duplicated code makes maintenance and code understanding more complex and time consuming.
Brown, Christopher, Thompson, Simon
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Detection of Curvilinear Structure in Images by a Multi-Centered Hough Forest Method
IEEE Access, 2018 Automatic detection of curvilinear structure in images is a challenging task in computer vision applications. In this paper, we present a novel supervised learning method to identify curvilinear structure based on a modified Hough forest framework.
Hanjin Zhang, Yang Yang, Hongbin Shen
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Suppressing Unwanted Autobiographical Memories Reduces Their Automatic Influences: Evidence from Electrophysiology and an Implicit Autobiographical Memory Test [PDF]
, 2015 The present study investigated the extent to which people can suppress unwanted autobiographical memories in a mock crime memory detection context. Participants encoded sensorimotor-rich memories by enacting a lab crime (stealing a ring) and received ...
Bergström, Zara M +3 more
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A pavement damage location algorithm based on machine vision distance compensation
Dianzi Jishu Yingyong, 2018 The real-time and accurate automatic detection technology of road surface damage has important significance for highway management and maintenance. This paper combines the FPGA-based pavement damage detection system to research the positioning accuracy ...
Miao Chengyu +4 more
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An approach to the diagnosis of lumbar disc herniation using deep learning models
Frontiers in Bioengineering and Biotechnology, 2023 Background: In magnetic resonance imaging (MRI), lumbar disc herniation (LDH) detection is challenging due to the various shapes, sizes, angles, and regions associated with bulges, protrusions, extrusions, and sequestrations.
Ardha Ardea Prisilla +14 more
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Motion Artifact Detection in Confocal Laser Endomicroscopy Images
, 2018 Confocal Laser Endomicroscopy (CLE), an optical imaging technique allowing non-invasive examination of the mucosa on a (sub)cellular level, has proven to be a valuable diagnostic tool in gastroenterology and shows promising results in various anatomical ...
Aubreville, Marc +6 more
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Automatic human face detection for content-based image annotation [PDF]
, 2008 In this paper, an automatic human face detection approach using colour analysis is applied for content-based image annotation. In the face detection, the probable face region is detected by adaptive boosting algorithm, and then combined with a colour ...
Jiang, M, Sadka, A H, Zhou, H
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Sleep: An Open-Source Python Software for Visualization, Analysis, and Staging of Sleep Data
Frontiers in Neuroinformatics, 2017 We introduce Sleep, a new Python open-source graphical user interface (GUI) dedicated to visualization, scoring and analyses of sleep data. Among its most prominent features are: (1) Dynamic display of polysomnographic data, spectrogram, hypnogram and ...
Etienne Combrisson +9 more
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