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A distribution-aware semi-supervised pipeline for cost-effective neuron segmentation. [PDF]

iScience
Zhang Y, Zhai H, Guo J, Liu J, Xie Q, Han H.   +5 more
europepmc   +1 more source

A dual-branch network for lesion segmentation in medical images using state space models. [PDF]

Quant Imaging Med Surg
Chen H, Min BW, Zhang H.
europepmc   +1 more source

Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI [PDF]

Lecture Notes in Computer Science, 2020
Brain pathologies can vary greatly in size and shape, ranging from few pixels (i.e. MS lesions) to large, space-occupying tumors. Recently proposed Autoencoder-based methods for unsupervised anomaly segmentation in brain MRI have shown promising performance, but face difficulties in modeling distributions with high fidelity, which is crucial for ...
Christoph Baur, Benedikt Wiestler, Shadi Albarqouni   +2 more
exaly   +3 more sources

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Image segmentation by analysis of scale-space

Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing, 2003
We present a technique in image segmentation based on a hierarchical analysis of scale-space. The image hierarchy is a tree of critical lakes and provides a set of nested partitions. We analyze the scale-space from fine to coarse levels according to specific attributes.
Marco António Garcia de Carvalho, Michel Couprie, Roberto de Alencar Lotufo   +2 more
openaire   +2 more sources

Fuzzy homogeneity and scale-space approach to color image segmentation

Pattern Recognition, 2003
Image segmentation is the procedure in which the original image is partitioned into homogeneous regions, and has many applications. In this paper, a fuzzy homogeneity and scale-space approach to color image segmentation is proposed. A color image is transformed into fuzzy domain with maximum fuzzy entropy principle.
H D Cheng
exaly   +2 more sources

The Segmentation of Images via Scale-Space Trees

Procedings of the British Machine Vision Conference 1998, 1998
A useful representation of an image would be an object tree in which nodes represent objects, or parts of objects, and which includes at least one node that, together with its children, represents each object: a grandmothernode. It is shown that scale-trees, obtained from greyscale images, approximate such a tree.
J. Andrew Bangham, Javier Ruiz Hidalgo, Richard W. Harvey, Gavin C. Cawley   +3 more
openaire   +1 more source