Fourier-Bessel representation for signal processing: A review
Several applications, analysis and visualization of signal demand representation of time-
domain signal in different domains like frequency-domain representation based on Fourier …
domain signal in different domains like frequency-domain representation based on Fourier …
Performances of machine learning in detecting glaucoma using fundus and retinal optical coherence tomography images: a meta-analysis
Purpose To evaluate the performance of machine learning (ML) in detecting glaucoma using
fundus and retinal optical coherence tomography (OCT) images. Design Meta-analysis …
fundus and retinal optical coherence tomography (OCT) images. Design Meta-analysis …
[图书][B] Time-frequency analysis techniques and their applications
RB Pachori - 2023 - taylorfrancis.com
Most of the real-life signals are non-stationary in nature. The examples of such signals
include biomedical signals, communication signals, speech, earthquake signals, vibration …
include biomedical signals, communication signals, speech, earthquake signals, vibration …
Breast cancer detection using an ensemble deep learning method
In this work, the effectiveness of the deep learning model is applied for one-dimensional
data when converted to images. This work is based on the effective conversion of one …
data when converted to images. This work is based on the effective conversion of one …
FBSED based automatic diagnosis of COVID-19 using X-ray and CT images
PK Chaudhary, RB Pachori - Computers in Biology and Medicine, 2021 - Elsevier
This work introduces the Fourier-Bessel series expansion-based decomposition (FBSED)
method, which is an implementation of the wavelet packet decomposition approach in the …
method, which is an implementation of the wavelet packet decomposition approach in the …
Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images
In this era of Coronavirus disease 2019 (COVID-19), an accurate method of diagnosis with
less diagnosis time and cost can effectively help in controlling the disease spread with the …
less diagnosis time and cost can effectively help in controlling the disease spread with the …
COVID-19 disease identification from chest CT images using empirical wavelet transformation and transfer learning
In the current scenario, novel coronavirus disease (COVID-19) spread is increasing day-by-
day. It is very important to control and cure this disease. Reverse transcription-polymerase …
day. It is very important to control and cure this disease. Reverse transcription-polymerase …
Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique
Breast cancer is one of the primary causes of death that is occurred in females around the
world. So, the recognition and categorization of initial phase breast cancer are necessary to …
world. So, the recognition and categorization of initial phase breast cancer are necessary to …
Automatic diagnosis of different grades of diabetic retinopathy and diabetic macular edema using 2-D-FBSE-FAWT
PK Chaudhary, RB Pachori - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Diabetic retinopathy (DR) and diabetic macular edema (DME) are the two most common
causes of blindness. The proposed work uses the order-zero and order-one 2-D Fourier …
causes of blindness. The proposed work uses the order-zero and order-one 2-D Fourier …
An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images
Abstract Chronic Ocular Diseases (COD) such as myopia, diabetic retinopathy, age-related
macular degeneration, glaucoma, and cataract can affect the eye and may even lead to …
macular degeneration, glaucoma, and cataract can affect the eye and may even lead to …