Weakly Semi-supervised Detector-based Video Classification with Temporal Context for Lung Ultrasound
For many challenging medical imaging tasks involving sequences, video-level labels alone
are insufficient to train accurate disease classification models and do not carry information …
are insufficient to train accurate disease classification models and do not carry information …
XCovNet: An optimized xception convolutional neural network for classification of COVID-19 from point-of-care lung ultrasound images
Global livelihoods are impacted by the novel coronavirus (COVID-19) disease, which mostly
affects the respiratory system and spreads via airborne transmission. The disease has …
affects the respiratory system and spreads via airborne transmission. The disease has …
Breathe out the secret of the lung: video classification of exhaled flows from normal and asthmatic lung models using CNN-Long Short-Term Memory networks
In this study, we present a novel approach to differentiate normal and diseased lungs based
on exhaled flows from 3D-printed lung models simulating normal and asthmatic conditions …
on exhaled flows from 3D-printed lung models simulating normal and asthmatic conditions …
How good are synthetic medical images? an empirical study with lung ultrasound
Acquiring large quantities of data and annotations is effective for developing high-
performing deep learning models, but is difficult and expensive to do in the healthcare …
performing deep learning models, but is difficult and expensive to do in the healthcare …
Automated diagnosis of respiratory diseases from lung ultrasound videos ensuring XAI: an innovative hybrid model approach
Introduction An automated computerized approach can aid radiologists in the early
diagnosis of lung disease from video modalities. This study focuses on the difficulties …
diagnosis of lung disease from video modalities. This study focuses on the difficulties …
Using Deep Learning and MobileNet50V2 CNN Model to Classify Chest X-Ray Images for Pneumonia Disease Detection
Pneumonia is a pathological condition characterised by the inflammation of the alveoli in
either one or both lungs. Symptoms including productive cough, fever, chills, and dyspnea …
either one or both lungs. Symptoms including productive cough, fever, chills, and dyspnea …
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis
Models based on human-understandable concepts have received extensive attention to
improve model interpretability for trustworthy artificial intelligence in the field of medical …
improve model interpretability for trustworthy artificial intelligence in the field of medical …
Can Crowdsourced Annotations Improve AI-Based Congestion Scoring for Bedside Lung Ultrasound?
Lung ultrasound (LUS) has become an indispensable tool at the bedside in emergency and
acute care settings, offering a fast and non-invasive way to assess pulmonary congestion. Its …
acute care settings, offering a fast and non-invasive way to assess pulmonary congestion. Its …
[PDF][PDF] Detection and classification of pneumonia using the Orange3 data mining tool.
A chest X-ray can convey a lot about a patient's condition. However, it requires a specialized
and skilled doctor to determine the type of lung disease with high accuracy. Here comes the …
and skilled doctor to determine the type of lung disease with high accuracy. Here comes the …
Transfer Learning and Feature Extraction of Chest X-ray Images for Deep Convolutional Neural Network (CNN)-based Pneumonia Detection
Pneumonia is a lung inflammation that mostly affects the tiny air sacs known as alveoli. A
productive or dry cough, chest discomfort, a fever, and breathing difficulties are typical …
productive or dry cough, chest discomfort, a fever, and breathing difficulties are typical …