Mask R-CNN Models to Purify Medical Images of Training Sets

Machine learning approach to medical image segmentation becomes more prevalent in radiology. However, the performance of segmentation models is not yet sufficient high for practical applications in clinics. A key cause to the performance limitation is the lack of the valid medical images in a training set. A segmentation model trained with invalid medical images is prone to generate false segmenta...