v1.0.0
CHANCE leverages state-of-the-art deep learning to detect nodule masses in chest X-ray scans with high accuracy supporting PNG, JPG and BMP formats.
State-of-the-art object detection model trained on CXR datasets for precise nodule mass localisation.
Upload CXR images in JPG, PNG, BMP format with automatic processing.
ONNX Runtime with Web Worker ensures blazing-fast detection directly in your browser.
Detects nodule masses in chest X-ray scans with confidence scores for transparent clinical reporting.
Analyse multiple CXR scans simultaneously with progress tracking and per-scan status overview.
Bounding boxes drawn directly onto CXR images with colour-coded labels, ready for PDF export.
Drag & drop your CXR scan (PNG, JPG or BMP).
Hit "Run Detection" and the model infers in seconds.
Inspect annotated results with bounding boxes and export PDF.
Suspicious nodular opacity or mass detected in the chest X-ray. Requires clinical correlation and follow-up imaging for definitive diagnosis.
Upload chest X-ray images and get instant AI-powered analysis.
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