A grayscale ultrasound-based two-stage deep learning framework for automatic segmentation and benign-malignant differentiation of subpleural pulmonary lesions
Lung cancer is one of the most lethal malignancies globally. However, accurately differentiating subpleural malignant lesions from benign infectious conditions via grayscale ultrasound remains difficult due to operator subjectivity. We developed and validated a two-stage deep learning framework for automated lesi...