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Antônio Santos

antoniosantos

  •  Brazil
  •  UFS
  •  PROCC
Statistics
  • Member for 2 years, 2 months
  • 1 algorithms run

Activity Overview

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BreastPathQ: Cancer Cellularity Challenge 2019
Challenge User

SPIE-AAPM-NCI BreastPathQ:Cancer Circularity Challenge 2019: Participants will be tasked to develop an automated method for analyzing histology patches extracted from whole slide images and assign a score reflecting cancer cellularity for tumor burden assessment in each.

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PatchCamelyon
Challenge User

PatchCamelyon is a new and challenging image classification dataset of 327.680 color images (96 x 96px) extracted from histopathology images of the CAMELYON16 challenge. The goal is to detect breast cancer metastasis in lymph nodes.

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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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Tiger Algorithm Example
Algorithm User

example on how to create an algorithm for the tiger challenge