Mostrando 21 - 40 Resultados de 168 Para Buscar '"image annotation"', tiempo de consulta: 0.16s Limitar resultados
  1. 21
    “…To boost the performance of image annotation and retrieval, we propose representations integrating spatial information and sparse features, overcoming the limitations of prior schemes. …”
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    Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval
  2. 22
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    Automated skin biopsy histopathological image annotation using multi-instance representation and learning
  3. 23
    “…In this paper, we present Machine learning Assisted Image Annotation (MAIA), a new image annotation method for environmental monitoring and exploration that overcomes the obstacle of missing training data. …”
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    MAIA—A machine learning assisted image annotation method for environmental monitoring and exploration
  4. 24
    “…OBJECTIVE: Develop CACTUS (cancer image annotating, calibrating, testing, understanding and sharing) as a novel web application for image archiving, annotation, grading, distribution, networking and evaluation. …”
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    CACTUS: cancer image annotating, calibrating, testing, understanding and sharing in breast cancer histopathology
  5. 25
    por Hachaj, Tomasz
    Publicado 2020
    “…Developing and evaluating the proposed facial image annotation algorithm and its implementation, which is easily portable between various hardware and operating systems (virtually the same code works both on high-end PCs and microcomputers using the Windows and Linux platforms) and which is dedicated for low power consumption devices without coprocessors, is the main and novel contribution of this research.…”
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    A Method for Human Facial Image Annotation on Low Power Consumption Autonomous Devices
  6. 26
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    CM-supplement network model for reducing the memory consumption during multilabel image annotation
  7. 27
    por Cao, Jianfang, Zhao, Aidi, Zhang, Zibang
    Publicado 2020
    “…In this study, a convolutional neural network with threshold optimization (CNN-THOP) is proposed to solve the issue of overlabeling or downlabeling arising during the multilabel image annotation process in the use of a ranking function for label annotation along with prediction probability. …”
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    Automatic image annotation method based on a convolutional neural network with threshold optimization
  8. 28
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    Quick Annotator: an open‐source digital pathology based rapid image annotation tool
  9. 29
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    Leveraging human expert image annotations to improve pneumonia differentiation through human knowledge distillation
  10. 30
    por Thomas, Laurent S.V., Gehrig, Jochen
    Publicado 2020
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    ImageJ/Fiji ROI 1-click tools for rapid manual image annotations and measurements
  11. 31
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    Fully Automated DCNN-Based Thermal Images Annotation Using Neural Network Pretrained on RGB Data
  12. 32
    “…Image annotation is a time-consuming and costly task. Previously, we published MorphoCluster as a novel image annotation tool to address problems of conventional, classifier-based image annotation approaches: their limited efficiency, training set bias and lack of novelty detection. …”
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    Assessing Representation Learning and Clustering Algorithms for Computer-Assisted Image Annotation—Simulating and Benchmarking MorphoCluster
  13. 33
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    Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology
  14. 34
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    Clinical practice guideline for body composition assessment based on upper abdominal magnetic resonance images annotated using artificial intelligence
  15. 35
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    A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic- and molecular-phenotypes of epithelial ovarian cancer
  16. 36
    “…We hypothesize that in-image annotations of the dehiscent visceral pleura for algorithm training boosts algorithm’s performance and suppresses confounders. …”
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    Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training
  17. 37
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    Quantitative comparison of taxa and taxon concepts in the diatom genus Fragilariopsis: a case study on using slide scanning, multiexpert image annotation, and image analysis in taxonomy(1)
  18. 38
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    AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia
  19. 39
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    Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene expression in the developing C. elegans embryo
  20. 40
    “…Image annotation and markup are at the core of medical interpretation in both the clinical and the research setting. …”
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    The caBIG™ Annotation and Image Markup Project
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