Radiomics and radiogenomics in lung cancer: a review for the clinician
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 …
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 …
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
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 …
by determining the effect of acquisition parameters on texture and by comparing the abilities …
Wavelet analysis of signals in agriculture and food quality inspection
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 …
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
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 …
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 …
system for classification of normal tissues in medical images obtained from computed …
Contourlet-based mammography mass classification using the SVM family
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 …
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
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 …
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
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 …
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 …
diseases since it enables direct visualization of the small intestine for the first time. However …