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Found 3 papers, 1 papers with code
Autofluorescence Bronchoscopy Video Analysis for Lesion Frame Detection
Because of the significance of bronchial lesions as indicators of early lung cancer and squamous cell carcinoma, a critical need exists for early detection of bronchial lesions.
Bronchoscopic video synchronization for interactive multimodal inspection of bronchial lesions
A potentially effective way of detecting early cancer lesions developing along the airway walls (epithelium) is bronchoscopy.
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video
We propose a real-time (processing throughput of 27 frames/sec) deep-learning architecture dubbed ESFPNet for accurate segmentation and robust detection of bronchial lesions in AFB video streams.
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Medical Image Segmentation
on ETIS-LARIBPOLYPDB
