AUTOMATED DIAGNOSIS OF GLAUCOMA USING EMPIRICAL WAVELET TRANSFORM AND CORRENTROPY FEATURES EXTRACTED FROM FUNDUS IMAGES

AUTOMATED DIAGNOSIS OF GLAUCOMA USING EMPIRICAL WAVELET TRANSFORM AND CORRENTROPY FEATURES EXTRACTED FROM FUNDUS IMAGES AUTOMATED DIAGNOSIS OF GLAUCOMA USING EMPIRICAL WAVELET TRANSFORM AND CORRENTROPY FEATURES EXTRACTED FROM FUNDUS IMAGES. Glaucoma is the second leading cause of blindness worldwide. The available scanning methods are Heidelberg Retinal Tomography (HRT), Scanning Laser Polarimetry … Continue Reading →

Orthogonal frequency division multiplexing (OFDM)

Orthogonal frequency division multiplexing (OFDM) Orthogonal frequency division multiplexing (OFDM) is one of the multi-carrier modulation (MCM) techniques that transmit signals through multiple carriers. These carriers (subcarriers) have different frequencies and they are orthogonal to each other. Orthogonal frequency division multiplexing techniques have been applied in both wired and wireless … Continue Reading →

Deep Neural Networks (DNNs)

Deep Neural Networks (DNNs) Deep Neural Networks (DNNs) are extremely powerful in performing machine learning tasks including image classification, speech recognition, and speech coding . However, training DNNs is computationally difficult. In particular, fine tuning DNNs requires stochastic gradient descent, which is unusually difficult to parallelize across machines. This lack … Continue Reading →

ECG ANALYSIS AND CLASSIFICATION OF ARRHYTHMIA

ECG ANALYSIS AND CLASSIFICATION OF ARRHYTHMIA ECG ANALYSIS AND CLASSIFICATION OF ARRHYTHMIA . Automatic recognition of cardiac arrhythmia is important for diagnosis of cardiac anomalies. Therefore, in this study, an expert system for Electrocardiogram (ECG) arrhythmia classification is proposed. The electrocardiogram (ECG) is a graphical recording of the electrical signals … Continue Reading →

Steganography Using Reversible Texture Synthesis

Steganography Using Reversible Texture Synthesis Steganography Using Reversible Texture Synthesis We propose a novel approach for stenography using a reversible texture synthesis. A texture synthesis process re-samples a smaller texture image which synthesizers a new texture image with a similar local appearance and arbitrary size. We weave the texture synthesis process … Continue Reading →

SERF: A Simple, Effective, Robust, and Fast Image Super-Resolver from Cascaded Linear Regression

SERF: A Simple, Effective, Robust, and Fast Image Super-Resolver from Cascaded Linear Regression.Example learning based image super-resolution techniques estimate a high-resolution image from a low-resolution input image by relying on high- and low-resolution image pairs. An important issue for these techniques is how to model the relationship between high- and … Continue Reading →

Real-time video stabilization without phantom movements for micro aerial vehicles

Real-time video stabilization without phantom movements for micro aerial vehicles. Real-time video stabilization without phantom movements for micro aerial vehicles In recent times, micro aerial vehicles (MAVs) are becoming popular for several applications as rescue, surveillance, mapping, etc. Undesired motion between consecutive frames is a problem in a video recorded … Continue Reading →

Combining Multiple-Instance Learning and Active Learning Computer Aided Detection Tuberculosis

Combining Multiple-Instance Learning and Active Learning  Computer Aided Detection Tuberculosis.CHEST radiography is a widely utilized tool in pulmonary tuberculosis (TB) detection. For this purpose, a posterior anterior chest radiography (CXR) is obtained and examined for abnormalities such as capacities, consolidation, etc., which are suggestive of active disease. According to several … Continue Reading →