AIMC Topic: Image Interpretation, Computer-Assisted
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Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation.
IEEE transactions on medical imaging
Jul 1, 2018
Glaucoma is a chronic eye disease that leads to irreversible vision loss. The cup to disc ratio (CDR) plays an important role in the screening and diagnosis of glaucoma. Thus, the accurate and automatic segmentation of optic disc (OD) and optic cup (...
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning.
IEEE transactions on medical imaging
Jul 1, 2018
Convolutional neural networks (CNNs) have achieved state-of-the-art performance for automatic medical image segmentation. However, they have not demonstrated sufficiently accurate and robust results for clinical use. In addition, they are limited by ...
Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.
JAMA ophthalmology
Jul 1, 2018
IMPORTANCE: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The decision to treat is primarily based on the presence of plus disease, defined as dilation and tortuosity of retinal vessels. However, clinical diagn...
Deep-learning Classifier With an Ultrawide-field Scanning Laser Ophthalmoscope Detects Glaucoma Visual Field Severity.
Journal of glaucoma
Jul 1, 2018
PURPOSE: To evaluate the accuracy of detecting glaucoma visual field defect severity using deep-learning (DL) classifier with an ultrawide-field scanning laser ophthalmoscope.
Cross-Sectional Studies
Intraocular Pressure
Male
Middle Aged
Aged
Adult
Sensitivity and Specificity
Image Interpretation, Computer-Assisted
Severity of Illness Index
Humans
Visual Fields
Deep Learning
Glaucoma
Visual Field Tests
Microscopy, Confocal
Retrospective Studies
Ophthalmoscopes
Vision Disorders
Female
Reproducibility of Results
Machine Learning Based Automatic Neovascularization Detection on Optic Disc Region.
IEEE journal of biomedical and health informatics
May 1, 2018
In this paper, the automatic detection of neovascularization in the optic disc region (NVD) for color fundus retinal image is presented. NV is the indicator for the onset of proliferative diabetic retinopathy and it is featured by the presence of new...
Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images Based on an End-to-End Deep Neural Network.
IEEE transactions on medical imaging
May 1, 2018
Automated methods for detecting clinically significant (CS) prostate cancer (PCa) in multi-parameter magnetic resonance images (mp-MRI) are of high demand. Existing methods typically employ several separate steps, each of which is optimized individua...
Hookworm Detection in Wireless Capsule Endoscopy Images With Deep Learning.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
May 1, 2018
As one of the most common human helminths, hookworm is a leading cause of maternal and child morbidity, which seriously threatens human health. Recently, wireless capsule endoscopy (WCE) has been applied to automatic hookworm detection. Unfortunately...
Detection of high-grade small bowel obstruction on conventional radiography with convolutional neural networks.
Abdominal radiology (New York)
May 1, 2018
The purpose of this pilot study is to determine whether a deep convolutional neural network can be trained with limited image data to detect high-grade small bowel obstruction patterns on supine abdominal radiographs. Grayscale images from 3663 clini...
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images.
Cell reports
Apr 3, 2018
Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumor-infiltrating lymphocytes (TILs) based on H&E images from 13 ...
Potential of artificial intelligence-assisted colonoscopy using an endocytoscope (with video).
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Apr 1, 2018
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