Lung Nodule

Lung nodules, small masses in the lung often indicative of early-stage lung cancer, are a critical focus of medical imaging research. Current research emphasizes improving the accuracy and efficiency of nodule detection and classification using deep learning models, such as variations of U-Net, YOLO, Vision Transformers, and other convolutional neural networks, often incorporating multi-scale analysis and temporal information from serial CT scans. These advancements aim to aid radiologists in early diagnosis, potentially improving patient outcomes through timely intervention and personalized treatment strategies. Furthermore, research is actively addressing the need for improved model interpretability and reduced reliance on extensive manual annotation of training data.