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A clinically informed automated evaluation pipeline for medical image segmentation based on Medical Similarity Index. [PDF]

Phys Imaging Radiat Oncol
Fazekas S, Budai BK, Bérczi V, Maurovich Horvat P, Vizi Z.   +4 more
europepmc   +1 more source

Deep leaning auto-segmentation of tomographic datasets, repeatability and biomechanical outcomes

Bowers FC, Lane R, Kawafi W, Rayfield E, Paul D, Pollock T, Berks H, Hammond CL.   +7 more
europepmc   +1 more source

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A new Hausdorff distance for image matching

Pattern Recognition Letters, 2005
Object matching in two-dimensional images has been an important topic in computer vision, object recognition, and image analysis. The Hausdorff distance plays an important role in image matching. In order to deal with image matching problems in random noisy situations, a new Hausdorff distance is proposed in this paper.
Chunjiang Zhao, Yong Deng
exaly   +2 more sources

Comparing images using the Hausdorff distance

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993
The Hausdorff distance measures the extent to which each point of a model set lies near some point of an image set and vice versa. Thus, this distance can be used to determine the degree of resemblance between two objects that are superimposed on one another.
Daniel P. Huttenlocher, Gregory A. Klanderman, William Rucklidge   +2 more
exaly   +2 more sources

A Generalization of the Averaged Hausdorff Distance

Computación y Sistemas, 2018
The averaged Hausdorff distance p is aninframetric which has been recently used in evolutionary multiobjective optimization (EMO). In this paper we introduce a new two-parameter performance indicator p,q which generalizes p as well as the standard Hausdorff distance.
Andrés Vargas, Johan Bogoya
openaire   +1 more source