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María Jesús García González

mjgarcia

  •  Spain
  •  Vicomtech
  •  eHealth and Biomedical Applications
Statistics
  • Member for 4 years, 3 months
  • 1 challenge submissions
  • 6 algorithms run

Activity Overview

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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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ACDC-LungHP
Challenge User

Automatic Cancer Detection and Classification in Whole-slide Lung Histopathology

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HEROHE
Challenge User

Unlike previous challenges, this proposes to find an image analysis algorithm to identify HER2-positive from HER2-negative breast cancer specimens evaluating only the morphological features present on the HE slide, without the staining patterns of IHC.

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Breast Cancer Segmentation
Challenge User

Semantic segmentation of histologic regions in scanned FFPE H&E stained slides of triple-negative breast cancer from The Cancer Genome Atlas. See: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083

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TIGER
Challenge User

Grand challenge on automate assessment of tumor infiltrating lymphocytes in digital pathology slides of triple negative and Her2-positive breast cancers

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BCNB
Challenge User

Early Breast Cancer Core-Needle Biopsy WSI Dataset

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PAIP 2023: TC prediction in pancreatic and colon cancer
Challenge User

Tumor cellularity prediction in pancreatic cancer (supervised learning) and colon cancer (transfer learning)