Pulmonology

Latest AI and machine learning research in pulmonology for healthcare professionals.

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Reducing false alarms in the ICU by quantifying self-similarity of multimodal biosignals.

False arrhythmia alarms pose a major threat to the quality of care in today's ICU. Thus, the PhysioN...

Automatic weighing attribute to retrieve similar lung cancer nodules.

BACKGROUND: Cancer is a disease characterized as an uncontrolled growth of abnormal cells that invad...

Fuzzy Clustering Applied to ROI Detection in Helical Thoracic CT Scans with a New Proposal and Variants.

The detection of pulmonary nodules is one of the most studied problems in the field of medical image...

Synthesis, identification and in vitro biological evaluation of some novel quinoline incorporated 1,3-thiazinan-4-one derivatives.

The present study describes the synthesis of two new series of 3-hydroxy-N-(4-oxo-2-phenyl-1,3-thiaz...

Lung Cancer Detection Using Fuzzy Auto-Seed Cluster Means Morphological Segmentation and SVM Classifier.

An effective fuzzy auto-seed cluster means morphological algorithm developed in this work to segment...

Design and Construction of a Microcontroller-Based Ventilator Synchronized with Pulse Oximeter.

This study aims to introduce a novel device with which mechanical ventilator and pulse oximeter work...

Lung sound classification using cepstral-based statistical features.

Lung sounds convey useful information related to pulmonary pathology. In this paper, short-term spec...

An Imbalanced Learning based MDR-TB Early Warning System.

As a man-made disease, multidrug-resistant tuberculosis (MDR-TB) is mainly caused by improper treatm...

Planning the City Logistics Terminal Location by Applying the Green p-Median Model and Type-2 Neurofuzzy Network.

The paper herein presents green p-median problem (GMP) which uses the adaptive type-2 neural network...

Respiratory Artefact Removal in Forced Oscillation Measurements: A Machine Learning Approach.

GOAL: Respiratory artefact removal for the forced oscillation technique can be treated as an anomaly...

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans.

This paper performs a comprehensive study on the deep-learning-based computer-aided diagnosis (CADx)...

Monitoring of total positive end-expiratory pressure during mechanical ventilation by artificial neural networks.

Ventilation treatment of acute lung injury (ALI) requires the application of positive airway pressur...

The diagnostic value of serum CEA, NSE and MMP-9 for on-small cell lung cancer.

Non-small cell lung cancer (NSCLC) is the leading cause of cancer related deaths worldwide. But no o...

Bio-inspired, Moisture-Powered Hybrid Carbon Nanotube Yarn Muscles.

Hygromorph artificial muscles are attractive as self-powered actuators driven by moisture from the a...

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network.

Automated tissue characterization is one of the most crucial components of a computer aided diagnosi...

Use of a Robotic Sampler (PIPER) for Evaluation of Particulate Matter Exposure and Eczema in Preschoolers.

While the association of eczema with asthma is well recognized, little research has focused on the p...

SNRFCB: sub-network based random forest classifier for predicting chemotherapy benefit on survival for cancer treatment.

Adjuvant chemotherapy (CTX) should be individualized to provide potential survival benefit and avoid...

Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines.

The choice of features greatly influences the performance of a tissue classification system. Despite...

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