AI · 1h ago
EndoSeg: Ovarian Lesion Segmenter Built for Nebius Challenge, But Don't Call It a Diagnostic Tool
EndoSeg is a binary ovarian-lesion segmentation model fine-tuned on MMOTU ultrasound data, deployed via Nebius serverless jobs and ONNX Runtime Web for privacy-preserving browser inference. The UI shows teal overlays and agreement metrics, but the model outputs only per-pixel lesion masks, not diagnostic labels. The developers explicitly state it is not a medical device and cannot diagnose endometriosis.
Meridian48 take
The honest post-mortem is refreshing, but the gap between a slick UI and a model that can't answer the core clinical question underscores the chasm between demo and deployment in medical AI.
Read the full reporting
EndoSeg: What We Built, What We Didn't, and Why the Overlay Lies a Little →
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