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 …
[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 …
A novel deep transfer learning based computerized diagnostic Systems for Multi-class imbalanced diabetic retinopathy severity classification
Diabetic Retinopathy (DR) is a retinal condition that leads to gradual degeneration of the
retina and eventual blindness, so early detection and evaluation of disease development …
retina and eventual blindness, so early detection and evaluation of disease development …
Towards an extended EfficientNet-based U-Net framework for joint optic disc and cup segmentation in the fundus image
J Wang, X Li, Y Cheng - Biomedical Signal Processing and Control, 2023 - Elsevier
Purpose Automatic and accurate segmentation of the optic disc (OD) and optic cup (OC) is
crucial for clinical glaucoma screening. However, the segmentation accuracy cannot meet …
crucial for clinical glaucoma screening. However, the segmentation accuracy cannot meet …
A decision support system for automated diagnosis of Parkinson's disease from EEG using FAWT and entropy features
Abstract Parkinson's disease (PD), a neurodegenerative disorder characterized by rest
tremors, muscular rigidity, and bradykinesia, has become a global health concern. Currently …
tremors, muscular rigidity, and bradykinesia, has become a global health concern. Currently …
Auto-metric graph neural network optimized with capuchin search optimization algorithm for coinciding diabetic retinopathy and diabetic macular edema grading
JJG Chandran, J Jabez, S Srinivasulu - Biomedical Signal Processing and …, 2023 - Elsevier
Diabetic retinopathy (DR) and diabetic macular edema (DME) are the major eternal
blindness in aged people. In this manuscript, Auto-Metric Graph Neural Network (AGNN) …
blindness in aged people. In this manuscript, Auto-Metric Graph Neural Network (AGNN) …
[HTML][HTML] A deep learning based approach for grading of diabetic retinopathy using large fundus image dataset
Diabetic Retinopathy affects one-third of all diabetic patients and may cause vision
impairment. It has four stages of progression, ie, mild non-proliferative, moderate non …
impairment. It has four stages of progression, ie, mild non-proliferative, moderate non …
Eye diseases detection using deep learning with BAM attention module
With the changing lifestyle, a large population suffers from eye diseases such as glaucoma,
cataract, and diabetic retinopathy. Therefore, timely detection and classification of the …
cataract, and diabetic retinopathy. Therefore, timely detection and classification of the …
Breast cancer classification using deep learned features boosted with handcrafted features
Breast cancer is one of the leading causes of death among women across the globe. It is
difficult to treat if detected at advanced stages. However, early detection can significantly …
difficult to treat if detected at advanced stages. However, early detection can significantly …
Mass segmentation and classification from film mammograms using cascaded deep transfer learning
VM Tiryaki - Biomedical Signal Processing and Control, 2023 - Elsevier
Breast cancer is the most common type of cancer among women worldwide. Early breast
cancers have a high chance of cure so early diagnosis is critical. Mammography screening …
cancers have a high chance of cure so early diagnosis is critical. Mammography screening …