🤖 AI Summary
The Cancer Imaging Archive (TCIA) — a key public repository of cancer imaging data (DICOM studies, lesion annotations, segmentation masks and linked clinical/genomic metadata) — is currently offline, preventing public downloads. TCIA hosts widely used collections such as LIDC‑IDRI (annotated thoracic CTs) and image sets tied to The Cancer Genome Atlas (TCGA), and is powered by NBIA software; its outage therefore interrupts access to primary datasets many AI/ML teams depend on for model training, validation, radiomics research and reproducibility studies.
For the AI community this matters because TCIA datasets are standard benchmarks and training sources for diagnostic models, segmentation algorithms and multimodal studies that combine imaging with genomic/clinical labels. An extended outage can stall experiments, delay model retraining and evaluation, and complicate reproducibility and audit trails for regulated workflows. Technical implications include disrupted bulk DICOM pulls, loss of access to pre‑annotated lesion labels (e.g., LIDC‑IDRI), and halted transfer learning pipelines. Researchers should check TCIA status/announcements, look for institutional mirrors or cached copies (Kaggle, AWS Public Datasets, local archives), and document any data-access interruptions for reproducibility and compliance.
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