human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "template cut a pattern based segmentation paradigm"
  Abstract: We present a scale-invariant, template-based segmentation paradigm that sets up a graph and performs a graph cut to separate an object from the background. Typically graph-based schemes distribute the nodes of the graph uniformly and equidistantly on the image, and use a regularizer to bias the cut towards a particular shape. The strategy of uniform and equidistant nodes does not allow the cut to prefer more complex structures, especially when areas of the object are indistinguishable from the background. We propose a solution by introducing the concept of a "template shape" of the target object in which the nodes are sampled non-uniformly and non-equidistantly on the image. We evaluate it on 2D-images where the object's textures and backgrounds are similar, and large areas of the object have the same gray level appearance as the background. We also evaluate it in 3D on 60 brain tumor datasets for neurosurgical planning purposes.

Connected through hyperedge HE-1 (induced by source paper "in depth assessment of an interactive graph based approach for the segmentation for pancreatic metastasis in ultrasound acquisitions of the liver with two specialists in internal medicine"):
  with members:
    - "htc vive mevislab integration via openvr for medical applications"
    - "interactive outlining of pancreatic cancer liver metastases in ultrasound images"
    - "us cut interactive algorithm for rapid detection and segmentation of liver tumors in ultrasound acquisitions"
    - "interactive volumetry of liver ablation zones"
    - "refinement cut user guided segmentation algorithm for translational science"
    - "cube cut vertebral body segmentation in mri data through cubic shaped divergences"
    - "gbm volumetry using the 3d slicer medical image computing platform"
    - "integration of the openigtlink network protocol for image guided therapy with the medical platform mevislab"

Connected through hyperedge HE-2 (induced by source paper "interactive outlining of pancreatic cancer liver metastases in ultrasound images"):
  with members:
    - "us cut interactive algorithm for rapid detection and segmentation of liver tumors in ultrasound acquisitions"
    - "interactive volumetry of liver ablation zones"
    - "refinement cut user guided segmentation algorithm for translational science"
    - "cube cut vertebral body segmentation in mri data through cubic shaped divergences"
    - "gbm volumetry using the 3d slicer medical image computing platform"
    - "integration of the openigtlink network protocol for image guided therapy with the medical platform mevislab"
    - "pcg cut graph driven segmentation of the prostate central gland"
    - "pituitary adenoma volumetry with 3d slicer"

Connected through hyperedge HE-3 (induced by source paper "algorithm guided outlining of 105 pancreatic cancer liver metastases in ultrasound"):
  with members:
    - "htc vive mevislab integration via openvr for medical applications"
    - "interactive outlining of pancreatic cancer liver metastases in ultrasound images"
    - "interactive volumetry of liver ablation zones"
    - "cube cut vertebral body segmentation in mri data through cubic shaped divergences"
    - "integration of the openigtlink network protocol for image guided therapy with the medical platform mevislab"
    - "pcg cut graph driven segmentation of the prostate central gland"
    - "square cut a segmentation algorithm on the basis of a rectangle shape"

Connected through hyperedge HE-4 (induced by source paper "interactive and scale invariant segmentation of the rectum sigmoid via user defined templates"):
  with members:
    - "interactive volumetry of liver ablation zones"
    - "refinement cut user guided segmentation algorithm for translational science"
    - "development of an open source software module for enhanced visualization during mr guided interstitial gynecologic brachytherapy"
    - "cube cut vertebral body segmentation in mri data through cubic shaped divergences"
    - "gbm volumetry using the 3d slicer medical image computing platform"
    - "integration of the openigtlink network protocol for image guided therapy with the medical platform mevislab"
    - "pcg cut graph driven segmentation of the prostate central gland"
    - "image guided therapy system for interstitial gynecologic brachytherapy in a multimodality operating suite"

Connected through hyperedge HE-5 (induced by source paper "cellular automata segmentation of the boundary between the compacta of vertebral bodies and surrounding structures"):
  with members:
    - "interactive volumetry of liver ablation zones"
    - "refinement cut user guided segmentation algorithm for translational science"
    - "development of an open source software module for enhanced visualization during mr guided interstitial gynecologic brachytherapy"
    - "cube cut vertebral body segmentation in mri data through cubic shaped divergences"
    - "gbm volumetry using the 3d slicer medical image computing platform"
    - "integration of the openigtlink network protocol for image guided therapy with the medical platform mevislab"
    - "image guided therapy system for interstitial gynecologic brachytherapy in a multimodality operating suite"
    - "pituitary adenoma volumetry with 3d slicer"

Connected through hyperedge HE-6 (induced by source paper "us cut interactive algorithm for rapid detection and segmentation of liver tumors in ultrasound acquisitions"):
  with members:
    - "interactive volumetry of liver ablation zones"
    - "refinement cut user guided segmentation algorithm for translational science"
    - "cube cut vertebral body segmentation in mri data through cubic shaped divergences"
    - "integration of the openigtlink network protocol for image guided therapy with the medical platform mevislab"
    - "square cut a segmentation algorithm on the basis of a rectangle shape"
    - "aorta segmentation for stent simulation"
    - "a flexible semi automatic approach for glioblastoma multiforme segmentation"
    - "pituitary adenoma segmentation"

Connected through hyperedge HE-7 (induced by source paper "refinement cut user guided segmentation algorithm for translational science"):
  with members:
    - "cube cut vertebral body segmentation in mri data through cubic shaped divergences"
    - "gbm volumetry using the 3d slicer medical image computing platform"
    - "pcg cut graph driven segmentation of the prostate central gland"
    - "image guided therapy system for interstitial gynecologic brachytherapy in a multimodality operating suite"
    - "pituitary adenoma volumetry with 3d slicer"
    - "square cut a segmentation algorithm on the basis of a rectangle shape"
    - "a flexible semi automatic approach for glioblastoma multiforme segmentation"
    - "detection and visualization of endoleaks in ct data for monitoring of thoracic and abdominal aortic aneurysm stents"

Connected through hyperedge HE-8 (induced by source paper "cube cut vertebral body segmentation in mri data through cubic shaped divergences"):
  with members:
    - "gbm volumetry using the 3d slicer medical image computing platform"
    - "pcg cut graph driven segmentation of the prostate central gland"
    - "pituitary adenoma volumetry with 3d slicer"
    - "square cut a segmentation algorithm on the basis of a rectangle shape"
    - "aorta segmentation for stent simulation"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CV(Computer Vision and Pattern Recognition)