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Yu Zhou

eternalaudrey

  •  Germany
  •  Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V.
  •  AMBIOM
Statistics
  • Member for 2 years, 9 months
  • 7 challenge submissions
  • 3 algorithms run

Activity Overview

CoNIC-Challenge Logo
CoNIC 2022
Challenge User

Colon Nuclei Identification and Counting Challenge 2022

lightmycells Logo
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

PUMA Logo
PUMA: Panoptic segmentation of nUclei and tissue in MelanomA
Challenge User

The PUMA Challenge aims to enhance nuclei and tissue segmentation in melanoma histopathology, addressing the need for better prognostic biomarkers to predict treatment responses. Melanoma, a highly aggressive skin cancer, often requires immune checkpoint inhibition therapy, but only half of patients respond. Prognostic biomarkers like tumor infiltrating lymphocytes (TILs) correlate with better therapy responses and lower recurrence rate, but manual TIL scoring is subjective and inconsistent. Current deep learning methods underperform. The PUMA dataset includes annotated primary and metastatic melanoma regions to improve segmentation techniques. The challenge includes two tracks with tasks focused on tissue and nuclei segmentation, encouraging advanced methods to improve predictive accuracy.