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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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Papers overview

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Highly Cited
2016
Review
2013
Review
2013
Medical images nowadays play an essential role in detection and diagnosis of numerous diseases. Ranging from anatomical… 
Highly Cited
2011
Highly Cited
2011
This paper presents a unified, efficient model of random decision forests which can be applied to a number of machine learning… 
Highly Cited
2008
Highly Cited
2008
The retinal fundus photograph is widely used in the diagnosis and treatment of various eye diseases such as diabetic retinopathy… 
Highly Cited
2004
Highly Cited
2004
In this paper, we propose an Expectation-Maximization (EM) approach to separate a shape database into different shape classes… 
Highly Cited
2003
Highly Cited
2003
This chapter introduces a project named eDiamond, which aims to develop a Grid-enabled federated database of annotated mammograms… 
Highly Cited
2002
Highly Cited
2002
Content-based retrieval (CBIR) methods in medical databases have been designed to support specific tasks, such as retrieval of… 
Highly Cited
2001
Highly Cited
2001
Segmentation of anatomical regions of the brain is one of the fundamental problems in medical image analysis. It is traditionally… 
Highly Cited
1997
Highly Cited
1997
Part I FUNDAMENTALS OF PATTERN RECOGNITION 0. Basic Concepts of Pattern Recognition 1. Decision Theoretic Algorithms 2… 
Review
1997
Review
1997
Texture is an important cue for the analysis of many types of images. The term is used to point to intrinsic properties of…