ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video. (arXiv:2207.07759v2 [eess.IV] UPDATED)

Lung cancer tends to be detected at an advanced stage, resulting in a high
patient mortality rate. Thus, recent research has focused on early disease
detection. Lung cancer generally first appears as lesions developing within the
bronchial epithelium of the airway walls. Bronchoscopy is the procedure of
choice for effective noninvasive bronchial lesion detection. In particular,
autofluorescence bronchoscopy (AFB) discriminates the autofluorescence
properties of normal and diseased tissue, whereby lesions appear reddish brown
in AFB video frames, while normal tissue …

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