AIMC Topic:
Image Interpretation, Computer-Assisted
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Morphological classification of odontogenic keratocysts using Bouligand-Minkowski fractal descriptors.
Computers in biology and medicine
Dec 8, 2016
The Odontogenic keratocyst (OKC) is a cystic lesion of the jaws, which has high growth and recurrence rates compared to other cysts of the jaws (for instance, radicular cyst, which is the most common jaw cyst type). For this reason OKCs are considere...
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos.
IEEE journal of biomedical and health informatics
Dec 7, 2016
Automated polyp detection in colonoscopy videos has been demonstrated to be a promising way for colorectal cancer prevention and diagnosis. Traditional manual screening is time consuming, operator dependent, and error prone; hence, automated detectio...
Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis.
IEEE journal of biomedical and health informatics
Dec 7, 2016
Early diagnosis of interstitial lung diseases is crucial for their treatment, but even experienced physicians find it difficult, as their clinical manifestations are similar. In order to assist with the diagnosis, computer-aided diagnosis systems hav...
Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis.
Scientific reports
Dec 6, 2016
This was a retrospective study to investigate the predictive and prognostic ability of quantitative computed tomography phenotypic features in patients with non-small cell lung cancer (NSCLC). 661 patients with pathological confirmed as NSCLC were en...
Automatic Detection and Classification of Colorectal Polyps by Transferring Low-Level CNN Features From Nonmedical Domain.
IEEE journal of biomedical and health informatics
Dec 5, 2016
Colorectal cancer (CRC) is a leading cause of cancer deaths worldwide. Although polypectomy at early stage reduces CRC incidence, 90% of the polyps are small and diminutive, where removal of them poses risks to patients that may outweigh the benefits...
Melanoma Classification on Dermoscopy Images Using a Neural Network Ensemble Model.
IEEE transactions on medical imaging
Dec 1, 2016
We develop a novel method for classifying melanocytic tumors as benign or malignant by the analysis of digital dermoscopy images. The algorithm follows three steps: first, lesions are extracted using a self-generating neural network (SGNN); second, f...
Automated quantification of three-dimensional organization of fiber-like structures in biological tissues.
Biomaterials
Nov 25, 2016
Fiber-like structures are prevalent in biological tissues, yet quantitative approaches to assess their three-dimensional (3D) organization are lacking. We develop 3D directional variance, as a quantitative biomarker of truly 3D fibrillar organization...
Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification.
IEEE transactions on bio-medical engineering
Nov 23, 2016
The standard chronic wound assessment method based on visual examination is potentially inaccurate and also represents a significant clinical workload. Hence, computer-based systems providing quantitative wound assessment may be valuable for accurate...
An artificial neural network method for lumen and media-adventitia border detection in IVUS.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Nov 17, 2016
Intravascular ultrasound (IVUS) has been well recognized as one powerful imaging technique to evaluate the stenosis inside the coronary arteries. The detection of lumen border and media-adventitia (MA) border in IVUS images is the key procedure to de...
Segmentation of Fetal Left Ventricle in Echocardiographic Sequences Based on Dynamic Convolutional Neural Networks.
IEEE transactions on bio-medical engineering
Nov 15, 2016
Segmentation of fetal left ventricle (LV) in echocardiographic sequences is important for further quantitative analysis of fetal cardiac function. However, image gross inhomogeneities and fetal random movements make the segmentation a challenging pro...
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