Journal of Computer and Communications

Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org
"Review on the Methods of Automatic Liver Segmentation from Abdominal Images"
written by Suhuai Luo, Xuechen Li, Jiaming Li,
published by Journal of Computer and Communications, Vol.2 No.2, 2014
has been cited by the following article(s):
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[18] Soft optimization techniques for automatic liver cancer detection in abdominal liver images
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[47] Survey on liver tumour resection planning system: steps, techniques, and parameters
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[48] Automatic liver tumour segmentation in CT combining FCN and NMF-based deformable model
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[49] A Novel Automatic Liver Segmentation by Level Set Method Over Real-Time Sensory Computed Tomography
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[67] Define Interior Structure for Better Liver Segmentation Based on CT Images
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[70] An Adaptive Method for Fully Automatic Liver Segmentation in Medical MRI-Images
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[71] Segmentation of Spleen with Pathology from abdominal MRI
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[72] 3D liver segmentation from abdominal computed tomography scans based on a novel level set model
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[74] Segmentation of Liver Organ using Marker Watershed Transform Algorithm for CT Scan Images
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[76] Liver segmentation using location and intensity probabilistic atlases
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[77] Machine learning-based lung nodule detection on chest x-ray radiographs
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[79] Computational Model of Pixel Wise Temperature Prediction for Liver Tumor by High Intensity Focused Ultrasound Ablations
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[80] Full‐Automated Liver Segmentation Using Sobolev Gradient Based Level Set Evolution
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[81] Accuracy of simple approaches to assessing liver volume in radiological imaging
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