Search Results - "Amaral, Telmo"

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  1. 1

    Classification and Immunohistochemical Scoring of Breast Tissue Microarray Spots by Amaral, Telmo, McKenna, Stephen J., Robertson, Katherine, Thompson, Alastair

    “…Tissue microarrays (TMAs) facilitate the survey of very large numbers of tumors. However, the manual assessment of stained TMA sections constitutes a…”
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    Journal Article
  2. 2

    Immunohistochemical analysis of breast tissue microarray images using contextual classifiers by McKenna, Stephen J., Amaral, Telmo, Akbar, Shazia, Jordan, Lee, Thompson, Alastair

    Published in Journal of pathology informatics (2013)
    “…Background: Tissue microarrays (TMAs) are an important tool in translational research for examining multiple cancers for molecular and protein markers…”
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    Journal Article
  3. 3

    Automated Classification for Visual-Only Postmortem Inspection of Porcine Pathology by McKenna, Stephen, Amaral, Telmo, Kyriazakis, Ilias

    “…Several advantages would arise from the automated detection of pathologies of pig carcasses, including avoidance of the inherent risks of subjectivity and…”
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    Journal Article
  4. 4

    Multi-part segmentation for porcine offal inspection with auto-context and adaptive atlases by McKenna, Stephen, Amaral, Telmo, Plötz, Thomas, Kyriazakis, Ilias

    Published in Pattern recognition letters (01-09-2018)
    “…•Automatic segmentation of multiple organs using auto-context.•Auto-context extended using integral context features and adaptive atlases.•Evaluation on image…”
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    Journal Article
  5. 5

    Segmentation of organs in pig offal using auto-context by Amaral, Telmo, Kyriazakis, Ilias, McKenna, Stephen J., Plotz, Thomas

    “…The segmentation of 2D images of 3D non-rigid objects into their constituent parts can pose challenging problems, such as missing and occluded parts, weak…”
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    Conference Proceeding Journal Article
  6. 6

    Archival Liveness: Designing with Collections Before and During Cataloguing and Digitization by Schofield, Tom, Kirk, David, Amaral, Telmo, Dörk, Marian, Whitelaw, Mitchell, Schofield, Guy, Ploetz, Thomas

    Published in Digital humanities quarterly (01-01-2015)
    “…We present “archival liveness” as a concept in design and the Digital Humanities and describe its development within a Research Through Design process. Working…”
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    Journal Article
  7. 7

    Analysis of breast tissue microarray spots by Amaral, Telmo

    Published 01-01-2010
    “…Tissue microarrays (TMAs) are a high-throughput technique that facilitates the survey of very large numbers of tumours, important both in clinical and research…”
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    Dissertation
  8. 8

    Classification of breast-tissue microarray spots using colour and local invariants by Amaral, T., McKenna, S., Robertson, K., Thompson, A.

    “…Breast tissue microarrays facilitate the survey of very large numbers of tumours but their scoring by pathologists is time consuming, typically highly…”
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    Conference Proceeding
  9. 9

    Using Different Cost Functions to Train Stacked Auto-Encoders by Amaral, Telmo, Silva, Luis M., Alexandre, Luis A., Kandaswamy, Chetak, Santos, Jorge M., de Sa, Joaquim Marques

    “…Deep neural networks comprise several hidden layers of units, which can be pre-trained one at a time via an unsupervised greedy approach. A whole network can…”
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    Conference Proceeding Journal Article
  10. 10

    Weighted atlas auto-context with application to multiple organ segmentation by Amaral, Telmo, Kyriazakis, Ilias, McKenna, Stephen J., Plotz, Thomas

    “…Difficulties can arise from the segmentation of three-dimensional objects formed by multiple non-rigid parts represented in two-dimensional images. Problems…”
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    Conference Proceeding
  11. 11

    Remote Control and Visualisation for Light Spectra and Wet Chemistry Experiments by Amaral, Telmo Pedro Gomes

    Published 01-01-2005
    “…Experimental work is a vital component of teaching in science and engineering. Emerging multimedia and “virtual science” platforms have much to offer in terms…”
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    Dissertation
  12. 12

    Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders by Amaral, Telmo, Kandaswamy, Chetak, Silva, Luis M., Alexandre, Luis A., Marques De Sa, Joaquim, Santos, Jorge M.

    “…Deep architectures have been used in transfer learning applications, with the aim of improving the performance of networks designed for a given problem by…”
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    Conference Proceeding