Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models

arXiv:2404.13239v1 Announce Type: new
Abstract: Medical image segmentation plays an important role in many image-guided clinical approaches. However, existing segmentation algorithms mostly rely on the availability of fully annotated images with pixel-wise annotations for training, which can be both labor-intensive and expertise-demanding, especially in the medical imaging domain where only experts can provide reliable and accurate annotations. To alleviate this challenge, there has been a growing focus on developing segmentation methods that can train deep models with weak annotations, such …

abstract algorithms annotations arxiv availability beyond clinical cs.cv expertise foundation however image images imaging labor medical medical imaging pixel role segmentation supervision training type wise