专题:Phonocardiography and Auscultation Techniques

This cluster of papers focuses on the analysis, classification, and diagnostic aid of cardiac and respiratory sounds. It covers topics such as heart sound segmentation, lung sound classification, machine learning applications, auscultation skills, and the use of artificial neural networks for pathology detection.
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Mel Frequency Cepstral Coefficient and its Applications: A Review

review Full Text OpenAlex 430 FWCI60.3342

Machine learning-based heart disease diagnosis: A systematic literature review

review Full Text OpenAlex 367 FWCI58.4324

A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images

article Full Text OpenAlex 259 FWCI34.0067

Race and Ethnicity in Pulmonary Function Test Interpretation: An Official American Thoracic Society Statement

article Full Text OpenAlex 249 FWCI65.2917

Detection of Pneumonia from Chest X-ray Images Utilizing MobileNet Model

article Full Text OpenAlex 188 FWCI44.1314

Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals

article Full Text OpenAlex 178 FWCI28.0724

Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function

article Full Text OpenAlex 167 FWCI23.8421

Pneumonia Detection on Chest X-ray Images Using Ensemble of Deep Convolutional Neural Networks

article Full Text OpenAlex 164 FWCI22.4818

Vision–language foundation model for echocardiogram interpretation

article Full Text OpenAlex 153 FWCI63.8993

Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms

article Full Text OpenAlex 151 FWCI17.2369