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BUILDING FOOTPRINT SEGMENTATION USING TRANSFER LEARNING: A CASE STUDY OF THE CITY OF MELBOURNE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Earth observation data including very high-resolution (VHR) imagery from satellites and unmanned aerial vehicles (UAVs) are the primary sources for highly accurate building footprint segmentation and extraction.
B. Neupane, J. Aryal, A. Rajabifard
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MISM: A Medical Image Segmentation Metric for Evaluation of Weak Labeled Data
Diagnostics, 2023 Performance measures are an important tool for assessing and comparing different medical image segmentation algorithms. Unfortunately, the current measures have their weaknesses when it comes to assessing certain edge cases.
Dennis Hartmann +6 more
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Remote Sensing, 2022 River floodplains are among the most dynamic and diverse ecosystems on the planet. They are at risk of degradation due to river regulation and climate change.
Chunying Wu +2 more
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Robust chest CT image segmentation of COVID-19 lung infection based on limited data
Informatics in Medicine Unlocked, 2021 Background: The coronavirus disease 2019 (COVID-19) affects billions of lives around the world and has a significant impact on public healthcare. For quantitative assessment and disease monitoring medical imaging like computed tomography offers great ...
Dominik Müller +2 more
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PROBLEMS AND SOLUTIONS FOR IMPLEMENTATION OF "ONLINE DEPOSITS" IN INDONESIA: DESCRIPTION ANALYSIS [PDF]
Malaysian E Commerce Journal, 2021 Banking digitalization is an effort to continue to innovate to provide various facilities and conveniences for customers when conducting financial transactions through their smartphones.
Santi Pisi, Girang Permata Gusti
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Applied Sciences, 2022 In the era of climate change and rapid urbanisation, communities and infrastructures need to be planned and designed in a way that promotes sustainable living. The provision of clean and affordable energy is a key to this aim.
Mary Rose Santillan +5 more
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Agile development of the SSH Open Marketplace: User Workshop [PDF]
ITM Web of Conferences, 2020 For the release of the Alpha version of the SSH Marketplace, we arranged a two-hour slot on 30 June 2020 during the ICTeSSH 2020 Conference. This report provides the context for the development of the Marketplace and presents the feedback received from ...
Barbot Laure +6 more
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Remote Sensing, 2023 Automated building footprint extraction requires the Deep Learning (DL)-based semantic segmentation of high-resolution Earth observation images. Fully convolutional networks (FCNs) such as U-Net and ResUNET are widely used for such segmentation.
Jagannath Aryal, Bipul Neupane
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Multipath: An R Package to Generate Integrated Reproducible Pathway Models
Biology, 2020 Biological pathway data integration has become a topic of interest in the past years. This interest originates essentially from the continuously increasing size of existing prior knowledge as well as from the many challenges scientists face when studying
Zaynab Hammoud, Frank Kramer
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Towards a guideline for evaluation metrics in medical image segmentation
BMC Research Notes, 2022 In the last decade, research on artificial intelligence has seen rapid growth with deep learning models, especially in the field of medical image segmentation.
Dominik Müller +2 more
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