AIMC Topic: Image Processing, Computer-Assisted

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Discrimination of Complex Activation Patterns in Near Infrared Optical Tomography with Artificial Neural Networks.

Advances in experimental medicine and biology
Near-infrared optical tomography (NIROT) has great promise for many clinical problems. Here we focus on the study of brain function. During NIROT image reconstruction of brain activity, an inverse problem has to be solved that is sensitive to small s...

Automation of Detection of Cervical Cancer Using Convolutional Neural Networks.

Critical reviews in biomedical engineering
Classification of digital cervical images acquired during visual inspection with acetic acid (VIA) is an important step in automated image-based cervical cancer detection. Many algorithms have been developed for classification of cervical images base...

Digital radiography image denoising using a generative adversarial network.

Journal of X-ray science and technology
Statistical noise may degrade the x-ray image quality of digital radiography (DR) system. This corruption can be alleviated by extending exposure time of detectors and increasing the intensity of radiation. However, in some instances, such as the sec...

Dense deconvolution net: Multi path fusion and dense deconvolution for high resolution skin lesion segmentation.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Dermoscopy imaging has been a routine examination approach for skin lesion diagnosis. Accurate segmentation is the first step for automatic dermoscopy image assessment.

In vivo noninvasive blood glucose detection using near-infrared spectrum based on the PSO-2ANN model.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: To improving the nursing level of diabetics, it is necessary to develop noninvasive blood glucose method.

Multi-task fused sparse learning for mild cognitive impairment identification.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Brain functional connectivity network (BFCN) has been widely applied to identify biomarkers for the brain function understanding and brain diseases analysis.

Low dose CT reconstruction via L1 norm dictionary learning using alternating minimization algorithm and balancing principle.

Journal of X-ray science and technology
Excessive radiation exposure in computed tomography (CT) scans increases the chance of developing cancer and has become a major clinical concern. Recently, statistical iterative reconstruction (SIR) with l0-norm dictionary learning regularization has...

Projection decomposition algorithm for dual-energy computed tomography via deep neural network.

Journal of X-ray science and technology
BACKGROUND: Dual-energy computed tomography (DECT) has been widely used to improve identification of substances from different spectral information. Decomposition of the mixed test samples into two materials relies on a well-calibrated material decom...

Revisit of Machine Learning Supported Biological and Biomedical Studies.

Methods in molecular biology (Clifton, N.J.)
Generally, machine learning includes many in silico methods to transform the principles underlying natural phenomenon to human understanding information, which aim to save human labor, to assist human judge, and to create human knowledge. It should h...

Robotic-Assisted and Image-Guided MRI-Compatible Stereoelectroencephalography.

The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques
BACKGROUND: Stereoelectroencephalography has been in regular use at the Montreal Neurological Institute since 1972. The technique has been in constant evolution to incorporate advances in materials, imaging, and robotics technology. MRI-compatible el...