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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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IJARAI Vol. 3 Issue 4 (2014)

Open Access | | 3 papers

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

1

A Registration Method for Multimodal Medical Images Using Contours Mutual Information

Author 1: Ying Qian Author 2: Meng Li Author 3: Qingjie Wei Author 4: Xuemei Ren

In recent years, mutual information has developed as a popular image registration measure especially in multimodality image registration. For different modality medical images, the contour of tissues or organs is similarity. In this paper, an effective new registration method of the multimodal medical images based on the contour mutual information… Read full abstract & cite →

contour mutual information mutual information multimodal medical image image registration variational level set method
2

Framework for Knowledge–Based Intelligent Clinical Decisionsupport to Predict Comorbidity

Author 1: Ernest E. Onuiri Author 2: Oludele Awodele Author 3: Sunday A. Idowu

Research in medicine has shown that comorbidity is prevalent among chronic diseases. In ophthalmology, it is used to refer to the overlap of two or more ophthalmic disorders. The comorbidity of cataract and glaucoma has continued to gain increasing prominence in ophthalmology within the past few decades and poses a… Read full abstract & cite →

Framework Knowledge-based Comorbidity Clinical Decision Support System (CDSS)
3

Scale-Based Local Feature Selection for Scene Text Recognition

Author 1: Boyu Zhang Author 2: Jia Feng Liu Author 3: XiangLong Tang

Scene text recognition has drawn increasing concerns from the OCR community in recent years. Among numerous methods that have been proposed, local feature based methods represented by bag-of-features (BoFs) show notable robustness and efficiency. However, as the existing detectors are based on assumptions about local saliency, a vast number of… Read full abstract & cite →

Scene Text Recognition Local Feature Stroke Width
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