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Salar Razavi

salar.razavi

  •  Canada
  •  Ryerson
  •  EE
Statistics
  • Member for 4 years, 5 months
  • 14 challenge submissions
  • 54 algorithms run

Activity Overview

CAMELYON17 Logo
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.

Gleason2019 Logo
Gleason2019
Challenge User

MICCAI 2019 Automatic Prostate Gleason Grading Challenge: This challenge aims at the automatic Gleason grading of prostate cancer from H&E-stained histopathology images. This task is of critical importance because Gleason score is a strong prognostic predictor. On the other hand, it is very challenging because of the large degree of heterogeneity in the cellular and glandular patterns associated with each Gleason grade, leading to significant inter-observer variability, even among expert pathologists.

ECDP2020 Logo
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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NuCLS
Challenge User

Classification, Localization and Segmentation of nuclei in scanned FFPE H&E stained slides of triple-negative breast cancer from The Cancer Genome Atlas. See: Amgad et al. 2021. arXiv:2102.09099 [cs.CV].

MIDOG2021 Logo
MIDOG Challenge 2021
Challenge User

Mitosis Domain Generalization Challenge 2021 (part of MICCAI 2021)