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Ground truth generation in medical imaging

Antonio Foncubierta Rodríguez, Henning Müller
2012 Proceedings of the ACM multimedia 2012 workshop on Crowdsourcing for multimedia - CrowdMM '12  
As in many other scientific domains where computer-based tools need to be evaluated, also medical imaging often requires the expensive generation of manual ground truth.  ...  the quality control phase.  ...  Quality control is essential to obtain good results as the quality of the judges for the task can vary strongly.  ... 
doi:10.1145/2390803.2390808 dblp:conf/mm/RodriguezM12 fatcat:77p3a3kmybgoxevutvgl3lchjy

Crowd-sourced data collection to support automatic classification of building footprint data

Robert Hecht, Matthias Kalla, Tobias Krüger
2018 Proceedings of the ICA  
The findings provide the basis for a future integration of a crowdsourcing component into the process of land use mapping, particularly the automatic building classification.  ...  The capabilities of machine learning allow for the prediction of building types and other building characteristics and thus, the efficient classification and description of the entire building stock of  ...  This project was supported by Pallas Ludens GmbH as one of three projects chosen in conjunction with the Pallas Ludens Academic Crowdsourcing Challenge in 2016.  ... 
doi:10.5194/ica-proc-1-54-2018 fatcat:mgvwexc47rf7dhys7x4lboau54

Use of ontology structure and Bayesian models to aid the crowdsourcing of ICD-11 sanctioning rules

Yun Lou, Samson W. Tu, Csongor Nyulas, Tania Tudorache, Robert J.G. Chalmers, Mark A. Musen
2017 Journal of Biomedical Informatics  
Graphical Abstract Highlights • We defined crowdsourcing microtasks to obtain ICD-11 sanctioning rules. • We used hierarchical structures to improve the efficiency of crowdsourcing. • We used Bayesian  ...  Highlights • We defined crowdsourcing microtasks to obtain ICD-11 sanctioning rules. • We used hierarchical structures to improve the efficiency of crowdsourcing. • We used Bayesian networks to model our  ...  In particular, we defined crowdsourcing microtasks to obtain ICD-11 sanctioning rules; we used hierarchical structures to improve the efficiency of crowdsourcing; we used Bayesian networks to model our  ... 
doi:10.1016/j.jbi.2017.02.004 pmid:28192233 pmcid:PMC5428551 fatcat:mysixlvfune6llzox6cnigux7u

RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data

Haifeng Li, Xin Dou, Chao Tao, Zhixiang Wu, Jie Chen, Jian Peng, Min Deng, Ling Zhao
2020 Sensors  
Using crowdsourced data, such as Open Street Map (OSM) data, ground objects in remote sensing images can be annotated effectively using points of interest, vector data from OSM, or other crowdsourced data  ...  It contains six categories with 35 sub-classes of more than 24,000 images of size 256 × 256 pixels.  ...  land-use classification in combination with the ImageNet hierarchical grading mechanism.  ... 
doi:10.3390/s20061594 pmid:32178463 pmcid:PMC7146467 fatcat:xgohre5rmbcupiy4mr56wkhska

Crowdsourcing syntactic relatedness judgements for opinion mining in the study of information technology adoption

Asad B. Sayeed, Bryan Rusk, Martin Petrov, Hieu C. Nguyen, Timothy J. Meyer, Amy Weinberg
2011 Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities  
We present positive results using two different evaluation philosophies and discuss how our design decisions enabled the collection of high-quality annotations under subjective and fine-grained conditions  ...  Our pre-annotation pipeline selects candidate sentences for annotation using results from a small amount of trained annotation to bias the random selection over a large corpus.  ...  Crowdsourced annotation Training gold We used CrowdFlower partly because of its automated quality control process.  ... 
dblp:conf/latech/SayeedRPNMW11 fatcat:fjiaqtdywvaw3a5oreveeyndiu

Generating Question-Answer Hierarchies

Kalpesh Krishna, Mohit Iyyer
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics  
The process of knowledge acquisition can be viewed as a question-answer game between a student and a teacher in which the student typically starts by asking broad, open-ended questions before drilling  ...  In addition, we thank Nader Akoury, Ari Kobren, Tu Vu and the other members of the UMass NLP group for helpful comments on earlier drafts of the paper and suggestions on the paper's presentation.  ...  A: Our crowdsourced evaluation (Section 4) focuses on fundamental properties of the generated output such as QA quality, relevance, and hierarchical correctness.  ... 
doi:10.18653/v1/p19-1224 dblp:conf/acl/KrishnaI19 fatcat:mkdkkrl355alrh44zm3ki2p2by

Visual Aware Hierarchy Based Food Recognition [article]

Runyu Mao, Jiangpeng He, Zeman Shao, Sri Kalyan Yarlagadda, Fengqing Zhu
2020 arXiv   pre-print
, then a multi-task CNN model is proposed to perform the classification task based on the visual aware hierarchical structure.  ...  In this work, we propose a new two-step food recognition system that includes food localization and hierarchical food classification using Convolutional Neural Networks (CNNs) as the backbone architecture  ...  However, our proposed method is agnostic about the underlying CNN model used, so we want to show the improvement of the classification accuracy based on a hierarchical structure of the class labels.  ... 
arXiv:2012.03368v1 fatcat:v2gfbqrykrgy7po34wubddbxhy

Updating and Maintaining Land Parcel Types Through Crowd-Sourced Land Use/Cover Classification [chapter]

Halil Ibrahim Inan, Abdurrahman Geymen, Omer Faruk Inan
2017 Cadastre: Geo-Information Innovations in Land Administration  
In this study, inspired from common international land use/cover classification systems (FAO Land Cover Classification System, CORINE land cover and INSPIRE land use/cover theme) and spatial data management  ...  Due to complexity of updating and maintenance procedures, use of crowd sourcing techniques with the contribution of related government agencies and also citizens was proposed.  ...  His research interests are data structures, spatial data base management systems and spatial web services. Abdurrahman GEYMEN  ... 
doi:10.1007/978-3-319-51216-7_6 fatcat:uoxk67xe3beethauh3krtzw32e

Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students

Anne Grote, Nadine S. Schaadt, Germain Forestier, Cedric Wemmert, Friedrich Feuerhake
2019 IEEE Transactions on Medical Imaging  
In conclusion, we provide guidance for task design and quality control to enable a crowdsourced approach to obtain accurate annotations required in the era of digital pathology.  ...  Demand remains high for annotations of more complex elements in digital microscopic images, such as anatomical structures.  ...  Maja Temerinac-Ott, University of Strasbourg for participating in data selection for experiment 3.  ... 
doi:10.1109/tmi.2018.2883237 pmid:30489264 fatcat:zv6m3i54z5hbpd4vlgqq7wufza

RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data [article]

Haifeng Li, Xin Dou, Chao Tao, Zhixiang Hou, Jie Chen, Jian Peng, Min Deng, Ling Zhao
2020 arXiv   pre-print
This classification system of ground objects is defined according to the national standard of land-use classification in China and is inspired by the hierarchy mechanism of ImageNet.  ...  Using crowdsource data, such as Open Street Map (OSM) data, ground objects in remote sensing images can be annotated effectively by points of interest, vector data from OSM, or other crowdsource data.  ...  Acknowledgments: This research has also been supported by National Natural Science Foundation of China  ... 
arXiv:1705.10450v3 fatcat:yet2jsamtbef7iksbgu6x44teq

Exploring product design quality control and assurance under both traditional and crowdsourcing-based design environments

Xiaojing Niu, Shengfeng Qin, Haizhu Zhang, Meili Wang, Rose Wong
2018 Advances in Mechanical Engineering  
Finally, we discuss product design quality control approaches and quality assurance policies, quality control challenges and corresponding solutions in crowdsourcing-based design environment.  ...  Secondly, we separately survey key factors affecting product design quality in traditional and crowdsourcing-based design environments, quality control approaches/theories and quality assurance policies  ...  Organization structure of participants Hierarchical structure and cross-functional organization structure Hierarchical structure Table 8 8 Quality control approaches and quality assurance policies  ... 
doi:10.1177/1687814018814395 fatcat:y2ejf3qwinflho4girf3ciknfi

Great Chain of Agents: The Role of Metaphorical Representation of Agents in Conversational Crowdsourcing

Ji-Youn Jung, Sihang Qiu, Alessandro Bozzon, Ujwal Gadiraju
2022 CHI Conference on Human Factors in Computing Systems  
We adopted Lakoff and Turner's 'Great Chain of Being' framework to systematically investigate the impact of using non-human metaphors to represent conversational agents on worker engagement in crowdsourcing  ...  Our findings bridge the gap of how users experience CAs with nonhuman metaphors in the context of conversational crowdsourcing.  ...  GCoB's hierarchical structure implies that entities corresponding to a higher level of the GCoB have all the qualities that the lower levels possess, in addition to their distinct qualities.  ... 
doi:10.1145/3491102.3517653 fatcat:p2eqmhhxsjf7zb6og3n2rqiywm

POI Mining for Land Use Classification: A Case Study

Renato Andrade, Ana Alves, Carlos Bento
2020 ISPRS International Journal of Geo-Information  
Then, based on a systematic state-of-the-art study, we focused on exploring the potential of points of interest (POIs) for land use classification, as one of the most common categories of crowdsourced  ...  The work described here aims to provide an alternative to the current methodologies for land use and land cover (LULC) classification, which are usually time-consuming and depend on expensive data types  ...  Hierarchical Semantic Cognition (HSC) HSC is a bottom-up Bayesian method with a hierarchical structure used to classify urban functional zones [4, 14] .  ... 
doi:10.3390/ijgi9090493 fatcat:5h4oggosirbpddmtsrlyxqghza

Beyond the urban mask

Benjamin Bechtel, Olaf Conrad, Matthias Tamminga, M.L. Verdonck, F. Van Coillie, Devis Tuia, Matthias Demuzere, Linda See, Patricia Lopes, Cidalia C. Fonte, Yong Xu, Chao Ren (+3 others)
2017 2017 Joint Urban Remote Sensing Event (JURSE)  
of crowd contributions, and the use of other data sources and methods.  ...  At the lowest level, the Local Climate Zone (LCZ) scheme provides a basic description of urban structure.  ...  of cities by remote sensing and crowdsourcing.  ... 
doi:10.1109/jurse.2017.7924557 dblp:conf/jurse/BechtelCTVCTDSL17 fatcat:5amf7dq5jrernfjaxycir5z6fq

PITFALLS AND POTENTIALS OF CROWD SCIENCE: A META-ANALYSIS OF CONTEXTUAL INFLUENCES

A. Klippel, K. Sparks, J. O. Wallgrün
2015 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Our research has addressed a variety of contextual effects on the validity of crowdsourced data such as cultural, linguistic, regional, as well as methodological differences that we will discuss here in  ...  light of semantics.  ...  The double-blind peer-review was conducted on the basis of the full paper. Editors: A.-M. Olteanu-Raimond, C. de-Runz, and R. Devillers doi:10.5194/isprsannals-II-3-W5-325-2015  ... 
doi:10.5194/isprsannals-ii-3-w5-325-2015 fatcat:2bjamfefojabvmh5h75riblytm
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