Official Repository of FLARE Challenge

This repository provides the evaluation code of the FLARE Challenges. More details are available on the corresponding websites.

MICCAI FLARE 2021: Fast and Low GPU memory Abdominal oRgan sEgmentation in CT Scans

• 511 cases from 11 medical centers
• Fully supervised setting
• Four segmentation targets: liver, kidney, spleen, and pancreas
• Evaluation metrics: DSC, NSD, Running time, Maximum GPU memory consumption

MICCAI FLARE 2022: Fast and Low-resource semi-supervised Abdominal oRgan sEgmentation in CT Scans

• 2300 CT scans from 50+ medical centers
• Semi-supervised setting
• 13 segmentation targets: liver, spleen, pancreas, right kidney, left kidney, stomach, gallbladder, esophagus, aorta, inferior vena cava, right adrenal gland, left adrenal gland, and duodenum
• Evaluation metrics: DSC, NSD, Running time, Area under GPU memory-time curve and Area under CPU utilization-time curve

MICCAI FLARE 2023: Fast, Low-resource, and Accurate oRgan and Pan-cancer sEgmentation in Abdomen CT

• 4000 CT scans from 50+ medical centers
• Partial-label setting
• 14 segmentation targets: liver, spleen, pancreas, right kidney, left kidney, stomach, gallbladder, esophagus, aorta, inferior vena cava, right adrenal gland, left adrenal gland, duodenum, and tumor
• Evaluation metrics: DSC, NSD, Running time, and Area under GPU memory-time curve

MICCAI FLARE 2024: Fast, Low-resource, and Accurate oRgan and Pan-cancer sEgmentation

• Task 1: Pan-cancer segmentation in CT scans
• Task 2: Abdominal CT Organ Segmentation on Laptop
• Task 3: Unsupervised Domain Adaptation for Abdominal Organ Segmentation in MRI Scans