Radiomics and radiogenomics in lung cancer: a review for the clinician

R Thawani, M McLane, N Beig, S Ghose, P Prasanna… - Lung cancer, 2018 - Elsevier
Lung cancer is responsible for a large proportion of cancer-related deaths across the globe,
with delayed detection being perhaps the most significant factor for its high mortality rate …

Seeded region growing

R Adams, L Bischof - IEEE Transactions on pattern analysis and …, 1994 - ieeexplore.ieee.org
We present here a new algorithm for segmentation of intensity images which is robust, rapid,
and free of tuning parameters. The method, however, requires the input of a number of …

Colorectal Cancer: Texture Analysis of Portal Phase Hepatic CT Images as a Potential Marker of Survival1

KA Miles, B Ganeshan, MR Griffiths, RCD Young… - Radiology, 2009 - pubs.rsna.org
Purpose: To assess the utility of texture analysis of liver computed tomographic (CT) images
by determining the effect of acquisition parameters on texture and by comparing the abilities …

Wavelet analysis of signals in agriculture and food quality inspection

CB Singh, R Choudhary, DS Jayas… - Food and Bioprocess …, 2010 - Springer
Food quality and safety have become the top priorities for agriculture and food processing
industry due to the increasing consumer demand for high-quality healthy food. The food …

Choosing wavelet methods, filters, and lengths for functional brain network construction

Z Zhang, QK Telesford, C Giusti, KO Lim, DS Bassett - PloS one, 2016 - journals.plos.org
Wavelet methods are widely used to decompose fMRI, EEG, or MEG signals into time series
representing neurophysiological activity in fixed frequency bands. Using these time series …

A comparison of wavelet, ridgelet, and curvelet-based texture classification algorithms in computed tomography

L Dettori, L Semler - Computers in biology and medicine, 2007 - Elsevier
The research presented in this article is aimed at the development of an automated imaging
system for classification of normal tissues in medical images obtained from computed …

Contourlet-based mammography mass classification using the SVM family

F Moayedi, Z Azimifar, R Boostani, S Katebi - Computers in biology and …, 2010 - Elsevier
This paper is concerned with the design and development of an automatic mass
classification of mammograms. The proposed method consists of three stages. In the first …

Texture analysis in non-contrast enhanced CT: impact of malignancy on texture in apparently disease-free areas of the liver

B Ganeshan, KA Miles, RCD Young… - European journal of …, 2009 - Elsevier
OBJECTIVES: To determine whether texture analysis of non-contrast enhanced computed
tomography (CT) images in apparently disease-free areas of the liver is altered by the …

Sound based induction motor fault diagnosis using Kohonen self-organizing map

E Germen, M Başaran, M Fidan - Mechanical Systems and Signal …, 2014 - Elsevier
The induction motors, which have simple structures and design, are the essential elements
of the industry. Their long-lasting utilization in critical processes possibly causes …

Automatic polyp detection for wireless capsule endoscopy images

B Li, MQH Meng - Expert Systems with Applications, 2012 - Elsevier
Wireless capsule endoscopy (WCE) opens a new stage for diagnosing gastrointestinal tract
diseases since it enables direct visualization of the small intestine for the first time. However …