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Medical image computing
Known as:
MIC
, Medical image analysis
Medical image computing (MIC) is an interdisciplinary field at the intersection of computer science, data science, electrical engineering, physics…
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Related topics
Related topics
43 relations
Active contour model
B-spline
Coefficient of determination
Computational anatomy
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Broader (1)
Medical imaging
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Investigating deep side layers for skin lesion segmentation
Behzad Bozorgtabar
,
ZongYuan Ge
,
R. Chakravorty
,
Mani Abedini
,
S. Demyanov
,
R. Garnavi
IEEE International Symposium on Biomedical…
2017
Corpus ID: 20209508
Accurate skin lesion segmentation is an important yet challenging problem for medical image analysis. The skin lesion…
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2013
2013
The Status Quo of Artificial Intelligence Methods in Automatic Medical Image Segmentation
M. Rastgarpour
,
J. Shanbehzadeh
2013
Corpus ID: 41030218
Image understanding needs to image analysis accurately in medical image engineering. Since segmentation is an effective and…
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2012
2012
Quantitative Comparison of Linear and Non-linear Dimensionality Reduction Techniques for Solar Image Archives
J. Banda
,
R. Angryk
,
P. Martens
The Florida AI Research Society
2012
Corpus ID: 6962209
This work investigates the applicability of several dimensionality reduction techniques for large scale solar data analysis…
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2011
2011
Medical Image Segmentation using Marker Controlled Watershed Transformation
M. Kaur
,
Gagan Jindal
2011
Corpus ID: 17398998
Segmentation refers to the process of partitioning a digital image into multiple segments (sets of pixels, also known as…
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2011
2011
Estimating patient-specific shape prior for medical image segmentation
Wuxia Zhang
,
Pingkun Yan
,
Xuelong Li
IEEE International Symposium on Biomedical…
2011
Corpus ID: 17829797
Image segmentation is one of the key problems in medical image analysis. This paper presents a new statistical shape model for…
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Review
2011
Review
2011
Fast Level Set Segmentation of Biomedical Images using Graphics Processing Units
Hormuz Mostofi
2011
Corpus ID: 62527254
I am aware of the University's disciplinary regulations concerning conduct in examinations and, in particular, of the regulations…
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2011
2011
Knowledge-based deformable models for medical image analysis
J. Schmid
2011
Corpus ID: 111810018
The treatment of musculoskeletal disorders (MSD) is of paramount importance, as MSDs are chronic pathologies accounting for the…
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2011
2011
Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors
Chaohui Wang
,
Yun Zeng
,
Loïc Simon
,
I. Kakadiaris
,
D. Samaras
,
N. Paragios
Vision
2011
Corpus ID: 10699345
In this paper, we propose a novel one-shot optimization approach to simultaneously determine both the optimal 3D landmark model…
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2008
2008
Deficiencies Of Lung Segmentation Techniques Using Ct Scan Images For Cad
Nisar Ahmed Memon
,
Anwar M. Mirza
,
S. Gilani
2008
Corpus ID: 14660642
Segmentation is an important step in medical image analysis and classification for radiological evaluation or computer aided…
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Review
2006
Review
2006
Implementing the Automatic Generation of 3 D Statistical Shape Models with ITK Release
T. Heimann
,
I. Oguz
,
I. Wolf
,
M. Styner
,
H. Meinzer
2006
Corpus ID: 17055920
We describe a method to automatically find the point correspondences between a collection of polygonal genus 0 meshes. This…
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