Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach.
Journal:
Computer methods and programs in biomedicine
PMID:
29428072
Abstract
BACKGROUND AND OBJECTIVE: In the biomedical field, digital multi-focal images are very important for documentation and communication of specimen data, because the morphological information for a transparent specimen can be captured in form of a stack of high-quality images. Given biomedical image stacks containing multi-focal images, how to efficiently extract effective features from all layers to classify the image stacks is still an open question.