Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks
DR Chen, RF Chang, WJ Kuo, MC Chen… - Ultrasound in medicine & …, 2002 - Elsevier
To increase the ability of ultrasonographic technology for the differential diagnosis of solid
breast tumors, we describe a novel computer-aided diagnosis (CADx) system using neural …
breast tumors, we describe a novel computer-aided diagnosis (CADx) system using neural …
Feature extraction from Doppler ultrasound signals for automated diagnostic systems
ED Übeylı, İ Güler - Computers in Biology and Medicine, 2005 - Elsevier
This paper presented the assessment of feature extraction methods used in automated
diagnosis of arterial diseases. Since classification is more accurate when the pattern is …
diagnosis of arterial diseases. Since classification is more accurate when the pattern is …
A new adaptive spatial filtering method in the wavelet domain for medical images
Although there are many methods in the literature to eliminate noise from images, finding
new methods remains a challenge in the field and, despite the complexity of existing …
new methods remains a challenge in the field and, despite the complexity of existing …
The de-noising methods for SPECT reconstruction with non-uniform attenuation based on wavelet transform
J Wen, Y Li, W Wang - 2007 IEEE/ICME International …, 2007 - ieeexplore.ieee.org
In single photon emission computed tomography (SPECT), the non-stationary Possion noise
in the projection data (sinogram) is a major cause to compromise the quality of the …
in the projection data (sinogram) is a major cause to compromise the quality of the …
Wavelet‐based denoising and its impact on analytical SPECT reconstruction with nonuniform attenuation compensation
J Wen, Y Li, W Wang - International journal of imaging systems …, 2013 - Wiley Online Library
In single photon emission computed tomography (SPECT), the nonstationary Poisson noise
in projection data (sinogram) is a major cause of compromising the quality of reconstructed …
in projection data (sinogram) is a major cause of compromising the quality of reconstructed …
Efficient, low complexity encoding of multiple, blurred noisy downsampled images via distributed source coding principles
In a portable device, such as a digital camera, limitations on storage are an important
consideration. In addition, due to constraints on the complexity of available hardware, image …
consideration. In addition, due to constraints on the complexity of available hardware, image …
[PDF][PDF] Noise Separation from Multiple Copy Images Using the FastICA Algorithm
H Chen, Z Chen - Journal of Information and Computing Science, 2011 - Citeseer
This paper proposes an effective method to separate noise from multiple copy images
(MCIs). Suppose that noise and original image are mutually independent in mixed signals …
(MCIs). Suppose that noise and original image are mutually independent in mixed signals …