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zolnamar

  •  Taiwan
  •  National Taiwan University College of Medicine
  •  Medical Device and Imaging
  •  Website
Statistics
  • Member for 1 year, 8 months
  • 13 challenge submissions
  • 19 algorithms run

Activity Overview

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DRIVE
Challenge User

Develop a system to automatically segment vessels in human retina fundus images.

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CHAOS
Challenge User

In this challenge, you segment the liver in CT data, and segment liver, spleen, and kidneys in MRI data.

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Decathlon
Challenge User

The Medical Segmentation Decathlon challenge tests the generalisability of machine learning algorithms when applied to 10 different semantic segmentation task.

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EndoCV2022
Challenge User

Developing methods for "detection task'' and ''segmentation task'' for endoscopic video sequence data

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SynthRAD2023
Challenge User

SynthRAD is the first challenge on automatic generation of synthetic computed tomography (sCT) for radiotherapy

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Foundation Model Prompting for Medical Image Classification
Challenge User

The primary objective of this challenge is to promote the development and evaluation of model adaptation techniques for medical image classification to leverage the existing foundation models.

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Justified Referral in AI Glaucoma Screening
Challenge User

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SynthRAD2025
Challenge User

SynthRAD is the first challenge on automatic generation of synthetic computed tomography (sCT) for radiotherapy