Small Lesion

Small lesion detection and segmentation in medical images is a crucial area of research aiming to improve the accuracy and efficiency of disease diagnosis. Current efforts focus on overcoming challenges posed by the small size and low contrast of these lesions, employing deep learning models such as convolutional neural networks (CNNs), attention mechanisms, and multi-modal approaches to enhance segmentation performance. These advancements hold significant promise for improving diagnostic confidence across various cancers and other diseases, ultimately leading to earlier and more effective interventions.