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Select a patient or create a new one
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JPG Β· PNG Β· DICOM (max 50 MB)
Analyzer:
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JPG Β· PNG Β· DICOM (max 50 MB)Running inferenceβ¦
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MP4 Β· AVI Β· MOV (max 500 MB) β automatic frame-by-frame analysisSelect a patient or create a new one
Every GPT-4o analysis is saved automatically to train YOLOv12
No training runs yet
Upload a real ultrasound image that has a scale bar and measurement labels. Draw the fibroid bounding box and the model will learn from it.
Drag & drop ultrasound image
or
Live YOLOv12 fibroid-detector training β full control & monitoring
| Epoch | mAP50 | mAP50-95 | Precision | Recall | Box loss | Cls loss |
|---|---|---|---|---|---|---|
| No data yet | ||||||
You will receive 10 ultrasound images. For each image: indicate whether a fibroid is present, and if so β mark the edges.
Your answers were sent for doctor review. Thank you!
Click a box to edit it, or drag on empty area to add a new one