Knowledge discovery in medicine: Current issue and future trend

N Esfandiari, MR Babavalian, AME Moghadam… - Expert Systems with …, 2014 - Elsevier
Data mining is a powerful method to extract knowledge from data. Raw data faces various
challenges that make traditional method improper for knowledge extraction. Data mining is …

A survey on computer aided diagnosis for ocular diseases

Z Zhang, R Srivastava, H Liu, X Chen, L Duan… - BMC medical informatics …, 2014 - Springer
Abstract Background Computer Aided Diagnosis (CAD), which can automate the detection
process for ocular diseases, has attracted extensive attention from clinicians and …

Age-related macular degeneration detection using deep convolutional neural network

JH Tan, SV Bhandary, S Sivaprasad… - Future Generation …, 2018 - Elsevier
Abstract Age-related Macular Degeneration (AMD) is an eye condition that affects the
elderly. Further, the prevalence of AMD is rising because of the aging population in the …

Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features

MRK Mookiah, UR Acharya, CM Lim, A Petznick… - Knowledge-Based …, 2012 - Elsevier
Eye images provide an insight into important parts of the visual system, and also indicate the
health of the entire human body. Glaucoma is one of the most common causes of blindness …

Optimized deep convolutional neural networks for identification of macular diseases from optical coherence tomography images

Q Ji, J Huang, W He, Y Sun - Algorithms, 2019 - mdpi.com
Finetuning pre-trained deep neural networks (DNN) delicately designed for large-scale
natural images may not be suitable for medical images due to the intrinsic difference …

Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news

LC Yu, JL Wu, PC Chang, HS Chu - Knowledge-Based Systems, 2013 - Elsevier
Sentiment classification of stock market news involves identifying positive and negative
news articles, and is an emerging technique for making stock trend predictions which can …

Fully automated macular pathology detection in retina optical coherence tomography images using sparse coding and dictionary learning

Y Sun, S Li, Z Sun - Journal of biomedical optics, 2017 - spiedigitallibrary.org
We propose a framework for automated detection of dry age-related macular degeneration
(AMD) and diabetic macular edema (DME) from retina optical coherence tomography (OCT) …

Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies

JEW Koh, UR Acharya, Y Hagiwara… - Computers in biology …, 2017 - Elsevier
Vision is paramount to humans to lead an active personal and professional life. The
prevalence of ocular diseases is rising, and diseases such as glaucoma, Diabetic …

[HTML][HTML] A review on automatic analysis techniques for color fundus photographs

R Besenczi, J Tóth, A Hajdu - Computational and structural biotechnology …, 2016 - Elsevier
In this paper, we give a review on automatic image processing tools to recognize diseases
causing specific distortions in the human retina. After a brief summary of the biology of the …

Automated “disease/no disease” grading of age-related macular degeneration by an image mining approach

Y Zheng, MHA Hijazi, F Coenen - … ophthalmology & visual …, 2012 - iovs.arvojournals.org
Purpose.: To describe and evaluate an automated grading system for age-related macular
degeneration (AMD) by color fundus photography. Methods.: An automated “disease/no …