CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. (arXiv:2108.07368v2 [cs.CV] UPDATED)

Segmenting medical images accurately and reliably is important for disease
diagnosis and treatment. It is a challenging task because of the wide variety
of objects' sizes, shapes, and scanning modalities. Recently, many
convolutional neural networks (CNN) have been designed for segmentation tasks
and achieved great success. Few studies, however, have fully considered the
sizes of objects and thus most demonstrate poor performance on segmentation of
small objects segmentation. This can have significant impact on early detection
of disease. This paper …

arxiv attention cv network segmentation small