NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals
Abstract Objective: Cardiovascular Diseases (CVDs) can be effectively treated when
detected early, reducing mortality rates significantly. Traditionally, Phonocardiogram (PCG) …
detected early, reducing mortality rates significantly. Traditionally, Phonocardiogram (PCG) …
[HTML][HTML] Automatic detection and classification of cardiovascular disorders using phonocardiogram and convolutional vision transformers
The major cause of death worldwide is due to cardiovascular disorders (CVDs). For a proper
diagnosis of CVD disease, an inexpensive solution based on phonocardiogram (PCG) …
diagnosis of CVD disease, an inexpensive solution based on phonocardiogram (PCG) …
[HTML][HTML] Blockchain-federated and deep-learning-based ensembling of capsule network with incremental extreme learning machines for classification of COVID-19 …
Due to the rapid rate of SARS-CoV-2 dissemination, a conversant and effective strategy
must be employed to isolate COVID-19. When it comes to determining the identity of COVID …
must be employed to isolate COVID-19. When it comes to determining the identity of COVID …
[HTML][HTML] Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
Chest disease refers to a wide range of conditions affecting the lungs, such as COVID-19,
lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest …
lung cancer (LC), consolidation lung (COL), and many more. When diagnosing chest …
Deep learning-based classification of dental disease using X-rays
Dental radiography is crucial for diagnosis, treatment, and quality assessment in dentistry.
To enhance clinical quality, digitalized dental X-ray image analysis systems have been …
To enhance clinical quality, digitalized dental X-ray image analysis systems have been …
[HTML][HTML] Deep learning-based classification of abrasion and ischemic diabetic foot sores using camera-captured images
Diabetic foot sores (DFS) are serious diabetic complications. The patient's weakened
neurological system damages the tissues of the foot's skin, which results in amputation. This …
neurological system damages the tissues of the foot's skin, which results in amputation. This …
Recent landscape of deep learning intervention and consecutive clustering on biomedical diagnosis
Background: Consecutive Clustering is one type of learning method that is built on neural
network. It is frequently used in different domains including biomedical research. It is very …
network. It is frequently used in different domains including biomedical research. It is very …
Predicting the Metastasis Ability of Prostate Cancer using Machine Learning Classifiers
Patients with prostate cancer (PCA) are more vulnerable to metastasis, which is the
disease's most devastating result and the primary reason for mortality. It is still not possible …
disease's most devastating result and the primary reason for mortality. It is still not possible …
[HTML][HTML] Graph-Based Audio Classification Using Pre-Trained Models and Graph Neural Networks
AE Castro-Ospina, MA Solarte-Sanchez… - Sensors, 2024 - mdpi.com
Sound classification plays a crucial role in enhancing the interpretation, analysis, and use of
acoustic data, leading to a wide range of practical applications, of which environmental …
acoustic data, leading to a wide range of practical applications, of which environmental …
A Novel Deep Learning Approach to Classify Heartbeats Audio Data
Technological advances in biomedical research have led to a massive influx of data,
including health records,-omics, imaging, and sensor data. This rapid increase in the high …
including health records,-omics, imaging, and sensor data. This rapid increase in the high …