Literature DB >> 17282558

Exponential Entropy Driven HUM on Knee MR Images.

Edoardo Ardizzone1, Roberto Pirrone, Orazio Gambino.   

Abstract

A very important artifact corrupting Magnetic Resonance Images is the RF inhomogeneity. This kind of artifact generates variations of illumination which trouble both direct examination by the doctor and segmentation algorithms. Even if homomorphic filtering approaches have been presented in literature, none of them has developed a measure to determine the cut-off frequency. In this work we present a measure based on information theory with a large experimental setup aimed to demonstrate the validity of our approach.

Entities:  

Year:  2005        PMID: 17282558     DOI: 10.1109/IEMBS.2005.1616789

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Is Intensity Inhomogeneity Correction Useful for Classification of Breast Cancer in Sonograms Using Deep Neural Network?

Authors:  Chia-Yen Lee; Guan-Lin Chen; Zhong-Xuan Zhang; Yi-Hong Chou; Chih-Chung Hsu
Journal:  J Healthc Eng       Date:  2018-12-04       Impact factor: 2.682

2.  Attention-Guided Multi-Scale Feature Fusion Network for Low-Light Image Enhancement.

Authors:  HengShuai Cui; Jinjiang Li; Zhen Hua; Linwei Fan
Journal:  Front Neurorobot       Date:  2022-03-03       Impact factor: 2.650

  2 in total

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