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Iván Vicente Moreno Cencerrado

ivanvmoreno

  •  Spain
  •  Universidad Internacional de Valencia
  •  Escuela Superior de Ingeniería, Ciencia y Tecnología
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  • Member for 2 years, 3 months
  • 4 challenge submissions

Activity Overview

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CAMELYON17
Challenge User

Automated detection and classification of breast cancer metastases in whole-slide images of histological lymph node sections. This task has high clinical relevance and would normally require extensive microscopic assessment by pathologists.

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ANHIR
Challenge User

The challenge focuses on comparing the accuracy (using manually annotated landmarks) and the approximate speed of automatic non-linear registration methods for aligning microscopy images of multi-stained histology tissue samples.

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ACROBAT 2023
Challenge User

The ACROBAT challenge aims to advance the development of WSI registration algorithms that can align WSIs of IHC-stained breast cancer tissue sections to corresponding tissue regions that were stained with H&E. All WSIs originate from routine diagnostic workflows.