LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data

Genetic Algorithm based adaptive histogram equalization (GAAHE) technique for medical image enhancement

(2021) Upendra Kumar Acharya et al.   OPTIK

RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification

(2021) Wadii Boulila et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Wearable Biosensors: An Alternative and Practical Approach in Healthcare and Disease Monitoring

(2021) Atul Sharma et al.   MOLECULES

Review of Wearable Sensor-Based Health Monitoring Glove Devices for Rheumatoid Arthritis

(2021) Jeffrey Henderson et al.   SENSORS

Lab under the Skin: Microneedle Based Wearable Devices

(2021) Hazhir Teymourian et al.   Advanced Healthcare Materials

Accelerometer data collected with a minimum set of wearable sensors from subjects with Parkinson’s disease

(2021) Jean-Francois Daneault et al.   Scientific Data

Patient Preferences for Lung Cancer Treatment: A Qualitative Study Protocol Among Advanced Lung Cancer Patients

(2021) Ilaria Durosini et al.   Frontiers in Public Health

Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases

(2021) Dina M. Ibrahim et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Wearable, Implantable, and Interventional Medical Devices Based on Smart Electronic Skins

(2021) Lili Wang et al.   Advanced Materials Technologies

Deep learning for lung Cancer detection and classification

(2020) A. Asuntha et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Multi-Level Cross Residual Network for Lung Nodule Classification

(2020) Juan Lyu et al.   SENSORS

CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection

(2020) Muhammet Fatih Aslan et al.   APPLIED SOFT COMPUTING

Lung Nodule Detection based on Faster R-CNN Framework

(2020) Ying Su et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies

(2019) Nasrullah Nasrullah et al.   SENSORS

Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT

(2019) Yutong Xie et al.   MEDICAL IMAGE ANALYSIS

Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images

(2018) Anum Masood et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance

(2018) Robherson Wector de Sousa Costa et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Multi-path convolutional neural network for lung cancer detection

(2018) Worku Jifara Sori et al.   MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING

Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT

(2018) Yutong Xie et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

The IASLC Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groupings in the Forthcoming (Eighth) Edition of the TNM Classification for Lung Cancer

(2016) Peter Goldstraw et al.   Journal of Thoracic Oncology

Metastatic sites and survival in lung cancer

(2014) M. Riihimäki et al.   LUNG CANCER

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

(2011) Samuel G. Armato et al.   MEDICAL PHYSICS

Computerized Detection of Lung Nodules in Thin-Section CT Images by Use of Selective Enhancement Filters and an Automated Rule-Based Classifier

(2008) Qiang Li et al.   ACADEMIC RADIOLOGY

Autoantibodies in lung cancer: possibilities for early detection and subsequent cure

(2007) C J Chapman et al.   THORAX