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huang jincai

jincaihuang

  •  China
  •  Shenzhen Technology University
  •  school of Health and Environmental Engineering
Statistics
  • Member for 1 year, 6 months
  • 5 challenge submissions
  • 1 algorithms run

Activity Overview

ICIAR2018-Challenge Logo
ICIAR 2018
Challenge User

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

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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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BCNB
Challenge User

Early Breast Cancer Core-Needle Biopsy WSI Dataset

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Breast Cancer Immunohistochemical Image Generation Challenge
Challenge User

The Breast Cancer Immunohistochemical Image Generation Challenge aims to directly generate IHC-stained breast cancer histopathology images from HE-stained images.

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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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Light My Cells : Bright Field to Fluorescence Imaging Challenge
Challenge User

Join the Light My Cells France-Bioimaging challenge! Enhance biology and microscopy by contributing to the development of new image-to-image deep labelling methods. The task: predict the best-focused output images of several fluorescently labelled organelles from label-free transmitted light input images. Dive into the future of imaging with us! 🌐🔬 #LightMyCellsChallenge