나만의 길

https://arxiv.org/abs/2004.05024 Weakly supervised multiple instance learning histopathological tumor segmentation Histopathological image segmentation is a challenging and important topic in medical imaging with tremendous potential impact in clinical practice. State of the art methods rely on hand-crafted annotations which hinder clinical translation since histology arxiv.org 해당 논문은 MICCAI 202..

https://arxiv.org/abs/1803.10464 Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation The deficiency of segmentation labels is one of the main obstacles to semantic segmentation in the wild. To alleviate this issue, we present a novel framework that generates segmentation labels of images given their image-level class labels. In this wea..

https://www.frontiersin.org/articles/10.3389/fmed.2019.00264/full Deep Learning for Whole Slide Image Analysis: An Overview The widespread adoption of whole slide imaging has increased the demand for effective and efficient gigapixel image analysis. Deep learning is at the forefront of computer vision, showcasing significant improvements over previous methodologies on visual un www.frontiersin.o..