CabiNet: A Deep Learning Framework for Multiclass Medical Image Segmentation from Multiple Single Class Datasets
The development of deep learning based image segmentation algorithms is often hindered by the lack of adequately annotated datasets, and this issue becomes a severe bottleneck in multi-class segmentation. The models can learn binary image segmentation since the datasets are often labeled for a singl…