An effective framework to perform lung nodule segmentation using U-net network

Puntos clave

• The aim is to develop a framework for accurately segmenting lung nodules using a U-net network.
• Developing a U-net architecture for image segmentation.
• Collecting medical imaging datasets of lung nodules.
• Testing the segmentation accuracy against existing methods.
• The U-net framework shows higher accuracy in lung nodule segmentation.
• Reduced computational time compared to previous models.
• Improvement in distinguishing between malignant and benign nodules.