Institute of Medical Informatics, Chinese PLA General Hospital, China
Value Added Abstracts
Deformed non-local neural network for retinal vessel segmentation
Author(s): Junping Zhao
Vessel segmentation is a challenging problem in medical
image segmentation, as it requires knowing the location of each
tiny blood vessel and understanding the global semantic
information. Previous method has demonstrated that long-range
dependencies information plays an important role in
understanding global segmentation information. To capture
long-range dependencies information, researchers often use
non-local structure. However, it requires too much computing
power and a large amount of GPU memory. In this paper, we
present a deformed non-local (DNL) neural network structure
for retinal vessel segmentation. DNL inherits the structure of
the Non-local module, but it changes the operation rules of nonlocal
weight matrix multiplication, which can greatly reduce the
problem of excessive computation and memory usage.
Meanwhile, we.. Read More»
Neurological Disorders received 1343 citations as per Google Scholar report
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