Early and accurate detection of renal tumor malignancy remains a critical challenge in clinical cancer diagnosis and treatment. Unfortunately, a third of all patients aren’t diagnosed until they have advanced disease. Percutaneous renal biopsy (PRB) followed by histopathology is the most commonly used surgical procedure for early kidney detection and diagnosis. However, PRB is challenging in precisely recognizing the tumor tissue and avoiding renal hemorrhage. In this project, we developed an endoscopic polarization-sensitive optical coherence tomography (PS-OCT) probe for PRB guidance. Deep-learning method was used to automate the tumor recognition procedure.
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