FLARE-MedFM/FLARE-AutoMSC

MICCAI FLARE26 AutoMSC: Automated Medical Image Segmentation and Classification (Homepage)

The training data contains multiple subsets covering different modalities (e.g., CT, MRI, and PET/CT) and cancer types (e.g., brain cancer, lung cancer, etc.).

Name	Modality	Number	Segmentation Labels	Classification Labels (cases per class)	License
Dataset001_BrainMets [1]	T1, T1c, T2, FLAIR, CT, RTP	166	Necrotic Core (1), Enhancing Tumor (2), Edema (3)	Primary Tumor Origin: NSCLC (102), Breast carcinoma (64)	CC BY 4.0
Dataset002_MU_Glioma [2]	T1c, T1, FLAIR, T2	591	Non-Enhancing Tumor Core (1), Surrounding Non-Enhancing FLAIR Hyperintensity (2), Enhancing Tumor (3), Resection Cavity (4)	Primary Diagnosis: GBM (446), Astrocytoma (87), Others (58)	CC-BY-NC 4.0
Dataset003_UCSD_PTGB [3]	T1c, FLAIR, ADC	184	Tumor (1)	IDH Mutation Status: Wild-Type (169), Mutant (15)	CC-BY-NC 4.0
Dataset004_PICAI [4]	T2, ADC, HBV	1500	Prostate (1), Tumor (2)	ISUP Grade: Benign/Indolent (847), ISUP 1 (228), ISUP 2 (234), ISUP 3 (99), ISUP 4 (40), ISUP 5 (52)	CC-BY-NC 4.0
Dataset005_LUNA25 [5-7]	CT	6132	Nodule (1)	Malignancy: Benign (5,589), Malignant (543)	CC BY 4.0
Dataset061_PETWB_Lung [8]	CT, PET	490	Lung (1)	Cancer type: Other (42), Lung Cancer (448)	CC BY 4.0
Dataset062_PETWB_Liver [8]	CT, PET	490	Liver (1)	Cancer type: Other (242), Liver Cancer (248)	CC BY 4.0
Dataset007_GliomaIDHType [9-10]	FLAIR, T1, T1ce, T2	613	Tumor (1)	IDH Mutation Status: Wild-Type (437), Mutant (176), Tumor Grade: 2 (100), 3 (97), 4 (416)	CC BY 4.0

The testing set remains hidden until the testing phase starts. It will contain 3-5 unpublished datasets with the same data structure and covering CT, MRI, and PET/CT modalities.

Baseline

The baseline code is available at medfm-flare/AutoMSC-Baseline.

Reference

• [1] D. Flouri, C. P. Papanikas, G. C. Manikis, E. Ioannou, G. Karaoli, E. Papageorgiou, A. Constantinidou, L. Siakallis, M. Theodorou, and V. Vavourakis, "A longitudinal mri dataset of brain metastases with tumor segmentations, clinical & radiomic data," Scientific Data, vol. 12, p. 1828, 2025.
• [2] E. Mahmoud, J. Gass, Y. Dhemesh, J. Greaser, K. Pogorzelski, E. Isufi, F. Garrett, J. Thacker, N. H. Tahon, J. Sinclair, and L. Layfield, "MU- Glioma Post: A comprehensive dataset of automated mr multi-sequence segmentation and clinical features," Scientific Data, vol. 12, no. 1, p. 1847, 2025.
• [3] L. Gagnon, D. Gupta, U. Nguyen, M. Correia de Verdier, R. Saluja, G. Mastorakos, N. White, V. Goodwill, C. R. McDonald, T. Beaumont, and C. Conlin, "The university of california san diego post-treatment glioblastoma (UCSD-PTGBM) annotated multimodal mri dataset," Scientific Data, 2026.
• [4] A. Saha, J. S. Bosma, J. J. Twilt, B. van Ginneken, A. Bjartell, A. R. Padhani, D. Bonekamp, G. Villeirs, G. Salomon, G. Giannarini, J. Kalpathy- Cramer, J. Barentsz, K. H. Maier-Hein, M. Rusu, O. Rouvi`ere, R. van den Bergh, V. Panebianco, V. Kasivisvanathan, N. A. Obuchowski, D. Yakar, M. Elschot, J. Veltman, J. J. F ¨utterer, M. de Rooij, and H. Huisman, "Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study," Lancet Oncology, vol. 25, pp. 879–887, 2024.
• [5] D. Peeters, B. Obreja, N. Antonissen, and C. Jacobs, "Benchmarking of artificial intelligence and radiologists for lung cancer screening in CT: The LUNA25 challenge," in Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.
• [6] D. Peeters, B. Obreja, N. Antonissen, and C. Jacobs, "The LUNA25 challenge: Public training and development set - imaging data (1.0.0)," 2025, data set.
• [7] D. Peeters, B. Obreja, N. Antonissen, and C. Jacobs, "The LUNA25 challenge: Public training and development set - annotation data (1.0.0)," 2025, data set.
• [8] L. Xue, G. Feng, Z. Wenbo, Y. Zhang, L. Li, S. Wang, L. Peng, S. Peng, and X. Gao, "PETWB-REP: A multi-cancer whole-body fdg pet/ct dataset with corresponding radiology reports," Scientific Data, 2026.
• [9] D. D. Reddy, N. Saadat, J. M. Holcomb, B. C. Wagner, N. C. Truong, J. Bowerman, K. J. Hatanpaa, T. R. Patel, M. C. Pinho, F. Yu, K. Zhang, S. Lodhi, A. J. Madhuranthakam, C. G. Bangalore Yogananda, and J. A. Maldjian, "The University of Texas Southwestern glioma dataset - MRI, molecular markers and segmentations," Scientific Data, vol. 13, p. 934, 2026.
• [10] D. D. Reddy, N. Saadat, J. M. Holcomb, B. C. Wagner, N. C. Truong, J. Bowerman, K. J. Hatanpaa, T. R. Patel, M. C. Pinho, F. Yu, K. Zhang, S. Lodhi, A. J. Madhuranthakam, C. G. Bangalore Yogananda, and J. A. Maldjian, "The University of Texas Southwestern glioma MRI dataset with molecular marker characterization and segmentations (UTSW-Glioma)," The Cancer Imaging Archive, 2026, data set.