Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2014
Review
2014
The VISual Concept Extraction challenge in RAdioLogy (VISCERAL) project has been developed as a cloud–based infrastructure for… 
2011
2011
Segmentation refers to the process of partitioning a digital image into multiple segments (sets of pixels, also known as… 
2011
2011
Image segmentation is one of the key problems in medical image analysis. This paper presents a new statistical shape model for… 
Review
2011
Review
2011
I am aware of the University's disciplinary regulations concerning conduct in examinations and, in particular, of the regulations… 
Highly Cited
2010
Highly Cited
2010
Contrast enhancement and image segmentation play an important process in most medical image analysis tasks. One of the main tasks… 
2010
2010
In this paper, an automated retinal vessel extraction algorithm is represented. A multi-scale morphological algorithm is used for… 
2009
2009
A Gaussian kernel-based fuzzy clustering algorithm with spatial constraints for automatic segmentation of lung field in chest… 
2008
2008
Point-of-interest detection is a way of reducing the amount of data that needs to be processed in a certain application and is… 
2006
2006
Diagnosis and cure of colon cancer can be improved by efficiently classifying the colon tissue cells into normal and malignant… 
2006
2006
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…