AIMC Topic:
Image Interpretation, Computer-Assisted
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Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model.
IEEE journal of biomedical and health informatics
Feb 28, 2018
Optical coherence tomography (OCT) is an imaging modality that is used extensively for ophthalmic diagnosis, near-histological visualization, and quantification of retinal abnormalities such as cysts, exudates, retinal layer disorganization, etc. Int...
Predication of different stages of Alzheimer's disease using neighborhood component analysis and ensemble decision tree.
Journal of neuroscience methods
Feb 24, 2018
BACKGROUND: There is a spectrum of the progression from healthy control (HC) to mild cognitive impairment (MCI) without conversion to Alzheimer's disease (AD), to MCI with conversion to AD (cMCI), and to AD. This study aims to predict the different d...
Automated Interpretation of Blood Culture Gram Stains by Use of a Deep Convolutional Neural Network.
Journal of clinical microbiology
Feb 22, 2018
Microscopic interpretation of stained smears is one of the most operator-dependent and time-intensive activities in the clinical microbiology laboratory. Here, we investigated application of an automated image acquisition and convolutional neural net...
Machine learning-based diagnosis of melanoma using macro images.
International journal for numerical methods in biomedical engineering
Feb 20, 2018
Cancer bears a poisoning threat to human society. Melanoma, the skin cancer, originates from skin layers and penetrates deep into subcutaneous layers. There exists an extensive research in melanoma diagnosis using dermatoscopic images captured throug...
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.
Nature biomedical engineering
Feb 19, 2018
Traditionally, medical discoveries are made by observing associations, making hypotheses from them and then designing and running experiments to test the hypotheses. However, with medical images, observing and quantifying associations can often be di...
Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images.
Journal of medical systems
Feb 17, 2018
Blood leucocytes segmentation in medical images is viewed as difficult process due to the variability of blood cells concerning their shape and size and the difficulty towards determining location of Blood Leucocytes. Physical analysis of blood tests...
DermaKNet: Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for Skin Lesion Diagnosis.
IEEE journal of biomedical and health informatics
Feb 16, 2018
Traditional approaches to automatic diagnosis of skin lesions consisted of classifiers working on sets of hand-crafted features, some of which modeled lesion aspects of special importance for dermatologists. Recently, the broad adoption of convolutio...
Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images.
IEEE transactions on medical imaging
Feb 13, 2018
Segmentation of brain tumors from magnetic resonance imaging (MRI) data sets is of great importance for improved diagnosis, growth rate prediction, and treatment planning. However, automating this process is challenging due to the presence of severe ...
Surrogate-Assisted Retinal OCT Image Classification Based on Convolutional Neural Networks.
IEEE journal of biomedical and health informatics
Feb 12, 2018
Optical Coherence Tomography (OCT) is beco-ming one of the most important modalities for the noninvasive assessment of retinal eye diseases. As the number of acquired OCT volumes increases, automating the OCT image analysis is becoming increasingly r...
3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation.
IEEE transactions on cybernetics
Feb 8, 2018
Accurate segmentation of infant brain images into different regions of interest is one of the most important fundamental steps in studying early brain development. In the isointense phase (approximately 6-8 months of age), white matter and gray matte...
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