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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.
Review
2014
Review
2014
VISCERAL — VISual Concept Extraction challenge in RAdioLogy: ISBI 2014 Challenge Organization
O. A. Jim
,
O. Goksel
,
+10 authors
A. Hanbury
2014
Corpus ID: 7045626
The VISual Concept Extraction challenge in RAdioLogy (VISCERAL) project has been developed as a cloud–based infrastructure for…
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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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Highly Cited
2010
Highly Cited
2010
Improving colour image segmentation on acute myelogenous leukaemia images using contrast enhancement techniques
Aimi Salihah
,
M. Y. Mashor
,
N. H. Harun
,
A. Abdullah
,
H. Rosline
IEEE EMBS Conference on Biomedical Engineering…
2010
Corpus ID: 11590544
Contrast enhancement and image segmentation play an important process in most medical image analysis tasks. One of the main tasks…
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2010
2010
Retinal vessel segmentation using color image morphology and local binary patterns
S. M. Zabihi
,
Morteza Delgir
,
H. Pourreza
Iranian Conference on Machine Vision and Image…
2010
Corpus ID: 11834602
In this paper, an automated retinal vessel extraction algorithm is represented. A multi-scale morphological algorithm is used for…
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2009
2009
Lung Segmentation in Chest Radiographs by Means of Gaussian Kernel-Based FCM with Spatial Constraints
Zhenghao Shi
,
Peidong Zhou
,
Lifeng He
,
Tsuyoshi Nakamura
,
Quanzhu Yao
,
H. Itoh
Sixth International Conference on Fuzzy Systems…
2009
Corpus ID: 27011223
A Gaussian kernel-based fuzzy clustering algorithm with spatial constraints for automatic segmentation of lung field in chest…
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2008
2008
Point-of-interest detection for range data
Fredrik Vikstén
,
K. Nordberg
,
M. Kalms
International Conference on Pattern Recognition
2008
Corpus ID: 14653601
Point-of-interest detection is a way of reducing the amount of data that needs to be processed in a certain application and is…
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2006
2006
Hyperspectral Colon Tissue Classification using Morphological Analysis
K. Masood
,
N. Rajpoot
,
K. Rajpoot
,
H. Qureshi
International Conference on Emerging Technologies
2006
Corpus ID: 25334595
Diagnosis and cure of colon cancer can be improved by efficiently classifying the colon tissue cells into normal and malignant…
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2006
2006
Linear Persistent Angular Structure MRI and non-linear Spherical Deconvolution for Diffusion MRI
K. Seunarine
,
D. Alexander
2006
Corpus ID: 67754861
where a is a mixing parameter, G(x;D,t) is a zero mean Gaussian with covariance 2tD, D1 = diag(λ1, λ2, λ2), D2 = diag(λ2, λ1, λ2…
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