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Dang Vu

dangvuquoc1993

  •  United Kingdom
  •  University of Warwick
  •  Computer Science
Statistics
  • Member for 6 years, 5 months
  • 27 challenge submissions

Activity Overview

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ICIAR 2018
Challenge User

Can you develop a method for automatic detection of cancerous regions in breast cancer histology images?

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MoNuSeg
Challenge User

MICCAI 2018 challenge for Multi-organ nuclei segmentation from H&E stained histopathological images.

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ACDC-LungHP
Challenge User

Automatic Cancer Detection and Classification in Whole-slide Lung Histopathology

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PAIP2020
Challenge User

Built on the success of its predecessor, PAIP2020 is the second challenge organized by the Pathology AI Platform (PAIP) and the Seoul National University Hospital (SNUH). PAIP2020 will proceed to not only detect whole tumor areas in colorectal cancers but also to classify their molecular subtypes, which will lead to characterization of their heterogeneity with respect to prognoses and therapeutic responses. All participants should predict one of the molecular carcinogenesis pathways, i.e., microsatellite instability(MSI) in colorectal cancer, by performing digital image analysis without clinical tests. This task has a high clinical relevance as the currently used procedure requires an extensive microscopic assessment by pathologists. Therefore, those automated algorithms would reduce the workload of pathologists as a diagnostic assistance.

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CoNIC 2022
Challenge Editor

Colon Nuclei Identification and Counting Challenge 2022