Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges

Multiscale CNN with compound fusions for false positive Reduction in lung nodule detection

(2021) Pardha Saradhi Mittapalli et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Cascaded SE-ResUnet for Segmentation of Thoracic Organs at Risk

(2021) Zheng Cao et al.   NEUROCOMPUTING

ResBCDU-Net: A Deep Learning Framework for Lung CT Image Segmentation

(2021) Yeganeh Jalali et al.   SENSORS

Adaptive Aggregated Attention Network for Pulmonary Nodule Classification

(2021) Kai Xia et al.   Applied Sciences-Basel

Screening for Lung Cancer

(2021) et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

NCCN Guidelines Insights: Non–Small Cell Lung Cancer, Version 2.2021

(2021) David S. Ettinger et al.   Journal of the National Comprehensive Cancer Network

Lung Nodule Segmentation with a Region-Based Fast Marching Method

(2021) Marko Savic et al.   SENSORS

Value of CT features for predicting EGFR mutations and ALK positivity in patients with lung adenocarcinoma

(2021) Xiaoyu Han et al.   Scientific Reports

Deep CNN Model Using CT Radiomics Feature Mapping Recognizes EGFR Gene Mutation Status of Lung Adenocarcinoma

(2021) Baihua Zhang et al.   Frontiers in Oncology

On the performance of lung nodule detection, segmentation and classification

(2021) Dongdong Gu et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Learning efficient, explainable and discriminative representations for pulmonary nodules classification

(2021) Hanliang Jiang et al.   PATTERN RECOGNITION

Machine Learning and Feature Selection Methods for EGFR Mutation Status Prediction in Lung Cancer

(2021) Joana Morgado et al.   Applied Sciences-Basel

Simultaneous Identification of EGFR,KRAS,ERBB2, and TP53 Mutations in Patients with Non-Small Cell Lung Cancer by Machine Learning-Derived Three-Dimensional Radiomics

(2021) Tiening Zhang et al.   Cancers

The Role of Liquid Biopsy in Early Diagnosis of Lung Cancer

(2021) Cláudia Freitas et al.   Frontiers in Oncology

Hybrid dilation and attention residual U-Net for medical image segmentation

(2021) Zekun Wang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer

(2021) Nguyen Quoc Khanh Le et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

CT-Based Hand-crafted Radiomic Signatures Can Predict PD-L1 Expression Levels in Non-small Cell Lung Cancer: a Two-Center Study

(2021) Zekun Jiang et al.   JOURNAL OF DIGITAL IMAGING

SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching

(2021) Xiangde Luo et al.   MEDICAL IMAGE ANALYSIS

Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications

(2021) Yu-Liang Chou et al.   Information Fusion

An effective approach for CT lung segmentation using mask region-based convolutional neural networks

(2020) Qinhua Hu et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

DENSE-INception U-net for medical image segmentation

(2020) Ziang Zhang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review

(2020) Amitava Halder et al.   JOURNAL OF DIGITAL IMAGING

Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation

(2020) Ganesh Singadkar et al.   JOURNAL OF DIGITAL IMAGING

Conventional Filtering Versus U-Net Based Models for Pulmonary Nodule Segmentation in CT Images

(2020) Joana Rocha et al.   JOURNAL OF MEDICAL SYSTEMS

Feature‐shared adaptive‐boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images

(2020) Jun Wang et al.   MEDICAL PHYSICS

Novel convolutional neural network architecture for improved pulmonary nodule classification on computed tomography

(2020) Yi Wang et al.   MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING

Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial

(2020) Harry J. de Koning et al.   NEW ENGLAND JOURNAL OF MEDICINE

Classification of lung nodules based on CT images using squeeze-and-excitation network and aggregated residual transformations

(2020) Guobin Zhang et al.   Radiologia Medica

Identifying relationships between imaging phenotypes and lung cancer-related mutation status: EGFR and KRAS

(2020) Gil Pinheiro et al.   Scientific Reports

Deep3DSCan: Deep residual network and morphological descriptor based framework for lung cancer classification and 3D segmentation

(2020) Gaurang Bansal et al.   IET Image Processing

Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules

(2020) Jumin Zhao et al.   JOURNAL OF DIGITAL IMAGING

Pulmonary Nodule Detection Using Hybrid Two-Stage 3D CNNs

(2020) Man Tan et al.   MEDICAL PHYSICS

Microbiome analyses of blood and tissues suggest cancer diagnostic approach

(2020) Gregory D. Poore et al.   NATURE

Multi-Level Cross Residual Network for Lung Nodule Classification

(2020) Juan Lyu et al.   SENSORS

Ensemble classification for predicting the malignancy level of pulmonary nodules on chest computed tomography images

(2020) Ning Xiao et al.   Oncology Letters

3D-MCN: A 3D Multi-scale Capsule Network for Lung Nodule Malignancy Prediction

(2020) Parnian Afshar et al.   Scientific Reports

Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning

(2020) Panpan Wu et al.   Computational Intelligence and Neuroscience

Automatic Detection of Pulmonary Nodules using Three-dimensional Chain Coding and Optimized Random Forest

(2020) May Phu Paing et al.   Applied Sciences-Basel

Deep Learning in CT Images: Automated Pulmonary Nodule Detection for Subsequent Management Using Convolutional Neural Network

(2020) Yi-Ming Xu et al.   Cancer Management and Research

A soft-computing based approach towards automatic detection of pulmonary nodule

(2020) Jhilam Mukherjee et al.   Biocybernetics and Biomedical Engineering

A deep Residual U-Net convolutional neural network for automated lung segmentation in computed tomography images

(2020) Anita Khanna et al.   Biocybernetics and Biomedical Engineering

Current therapy of KRAS-mutant lung cancer

(2020) Aron Ghimessy et al.   CANCER AND METASTASIS REVIEWS

Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future

(2020) Rahul Paul et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Targeting KRAS Mutant Non-Small-Cell Lung Cancer: Past, Present and Future

(2020) Iris Z. Uras et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Deep convolutional neural networks for automatic segmentation of thoracic organs‐at‐risk in radiation oncology – use of non‐domain transfer learning

(2020) Charles C. Vu et al.   Journal of Applied Clinical Medical Physics

Multi-model Ensemble Learning Architecture Based on 3D CNN for Lung Nodule Malignancy Suspiciousness Classification

(2020) Hong Liu et al.   JOURNAL OF DIGITAL IMAGING

RAS-targeted therapies: is the undruggable drugged?

(2020) Amanda R. Moore et al.   NATURE REVIEWS DRUG DISCOVERY

Pathological lung segmentation based on random forest combined with deep model and multi-scale superpixels

(2020) Caixia Liu et al.   NEURAL PROCESSING LETTERS

Automatic detection of pulmonary nodules in CT images based on 3D Res-I network

(2020) Lukui Shi et al.   VISUAL COMPUTER

Lung Nodule Classification on Computed Tomography Images Using Deep Learning

(2020) Amrita Naik et al.   WIRELESS PERSONAL COMMUNICATIONS

Lung Nodule Classification Using Taguchi-Based Convolutional Neural Networks for Computer Tomography Images

(2020) Cheng-Jian Lin et al.   Electronics

Deep Transfer Convolutional Neural Network and Extreme Learning Machine for lung nodule diagnosis on CT images

(2020) Xufeng Huang et al.   KNOWLEDGE-BASED SYSTEMS

MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks

(2020) Xiuyuan Xu et al.   MEDICAL IMAGE ANALYSIS

Automatic detection of pulmonary nodules on CT images with YOLOv3: development and evaluation using simulated and patient data

(2020) Chenyang Liu et al.   Quantitative Imaging in Medicine and Surgery

A CT-derived deep neural network predicts for programmed death ligand-1 expression status in advanced lung adenocarcinomas

(2020) Ying Zhu et al.   Annals of Translational Medicine

LGAN: Lung segmentation in CT scans using generative adversarial network

(2020) Jiaxing Tan et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification

(2020) Sunyi Zheng et al.   MEDICAL PHYSICS

Comprehensive Perspective for Lung Cancer Characterisation Based on AI Solutions Using CT Images

(2020) Tania Pereira et al.   Journal of Clinical Medicine

LungSeg-Net: Lung field segmentation using generative adversarial network

(2020) Swati P. Pawar et al.   Biomedical Signal Processing and Control

Pathological lung segmentation in chest CT images based on improved random walker

(2020) Cheng Chen et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Pulmonary Nodule Classification Based on Heterogeneous Features Learning

(2020) Chao Tong et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

(2020) Erico Tjoa et al.   IEEE Transactions on Neural Networks and Learning Systems

Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learning

(2020) Ivan William Harsono et al.   Journal of King Saud University-Computer and Information Sciences

Predicting EGFR Mutation Status in Lung Adenocarcinoma on CT Image Using Deep Learning

(2019) Shuo Wang et al.   EUROPEAN RESPIRATORY JOURNAL

KRAS-mutant non-small cell lung cancer: Converging small molecules and immune checkpoint inhibition

(2019) Helen Adderley et al.   EBioMedicine

Deep convolutional neural network for segmentation of thoracic organs‐at‐risk using cropped 3D images

(2019) Xue Feng et al.   MEDICAL PHYSICS

Automatic multiorgan segmentation in thorax CT images using U‐net‐ GAN

(2019) Xue Dong et al.   MEDICAL PHYSICS

CT and clinical characteristics that predict risk of EGFR mutation in non-small cell lung cancer: a systematic review and meta-analysis

(2019) Hanfei Zhang et al.   International Journal of Clinical Oncology

Immunotherapy in Non-Small Cell Lung Cancer: Facts and Hopes

(2019) Deborah B Doroshow et al.   CLINICAL CANCER RESEARCH

Assessing PD-L1 Expression Level by Radiomic Features From PET/CT in Nonsmall Cell Lung Cancer Patients: An Initial Result

(2019) Mengmeng Jiang et al.   ACADEMIC RADIOLOGY

Emerging therapies for non-small cell lung cancer

(2019) Chao Zhang et al.   Journal of Hematology & Oncology

Causability and explainabilty of artificial intelligence in medicine

(2019) Andreas Holzinger et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning

(2019) Wei Zhao et al.   Cancer Medicine

Attentive and ensemble 3D dual path networks for pulmonary nodules classification

(2019) Hanliang Jiang et al.   NEUROCOMPUTING

Update on liquid biopsy in clinical management of non-small cell lung cancer

(2019) Zhen Wu et al.   OncoTargets and Therapy

Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks

(2019) Beomhee Park et al.   JOURNAL OF DIGITAL IMAGING

Usefulness of gradient tree boosting for predicting histological subtype and EGFR mutation status of non-small cell lung cancer on 18F FDG-PET/CT

(2019) Sho Koyasu et al.   ANNALS OF NUCLEAR MEDICINE

Multi-view Convolutional Neural Network for lung nodule false positive reduction

(2019) Salsabil Amin El-Regaily et al.   EXPERT SYSTEMS WITH APPLICATIONS

Lung Cancer in the Young

(2019) Marco Galvez-Nino et al.   LUNG

Automatic lung nodule detection system using image processing techniques in computed tomography

(2019) Chung-Feng Jeffrey Kuo et al.   Biomedical Signal Processing and Control

Circulating tumor cells in precision oncology: clinical applications in liquid biopsy and 3D organoid model

(2019) Chang Yang et al.   Cancer Cell International

Efficacy evaluation of 2D, 3D U-Net semantic segmentation and atlas-based segmentation of normal lungs excluding the trachea and main bronchi

(2019) Takafumi Nemoto et al.   JOURNAL OF RADIATION RESEARCH

Liquid Biopsy in Non-Small Cell Lung Cancer: Highlights and Challenges

(2019) Erika Rijavec et al.   Cancers

Updated Molecular Testing Guideline for the Selection of Lung Cancer Patients for Treatment With Targeted Tyrosine Kinase Inhibitors: Guideline From the College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology

(2018) Neal I. Lindeman et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Radiomics-based features for pattern recognition of lung cancer histopathology and metastases

(2018) José Raniery Ferreira Junior et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Molecular targeted therapy: treating cancer with specificity

(2018) Yeuan Ting Lee et al.   EUROPEAN JOURNAL OF PHARMACOLOGY

A novel multi-atlas strategy with dense deformation field reconstruction for abdominal and thoracic multi-organ segmentation from computed tomography

(2018) Bruno Oliveira et al.   MEDICAL IMAGE ANALYSIS

The function and therapeutic targeting of anaplastic lymphoma kinase (ALK) in non-small cell lung cancer (NSCLC)

(2018) Brandon Golding et al.   Molecular Cancer

Utility of computed tomography lung cancer screening and the management of computed tomography screen-detected findings

(2018) Ammar Chaudhry et al.   Journal of Thoracic Disease

Personalized medicine in non-small cell lung cancer: A review from a pharmacogenomics perspective

(2018) Wenxiao Jiang et al.   Acta Pharmaceutica Sinica B

Current Molecular-Targeted Therapies in NSCLC and Their Mechanism of Resistance

(2018) Zachary Schrank et al.   Cancers

OUP accepted manuscript

(2018)   ANNALS OF ONCOLOGY

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk

(2018) Xuemei Ji et al.   Nature Communications

Liquid Biopsy and Lung Cancer

(2018) Pasquale Pisapia et al.   ACTA CYTOLOGICA

The Association Between Imaging Features of TSCT and the Expression of PD-L1 in Patients With Surgical Resection of Lung Adenocarcinoma

(2018) Tong Wu et al.   Clinical Lung Cancer

Automatic nodule detection for lung cancer in CT images: A review

(2018) Guobin Zhang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Genomics of non-small cell lung cancer (NSCLC): Association between CT-based imaging features and EGFR and K-RAS mutations in 122 patients—An external validation

(2018) Stefania Rizzo et al.   EUROPEAN JOURNAL OF RADIOLOGY

Detection of epithelial growth factor receptor (EGFR) mutations on CT images of patients with lung adenocarcinoma using radiomics and/or multi-level residual convolutionary neural networks

(2018) Xiao-Yang Li et al.   Journal of Thoracic Disease

A radiogenomic dataset of non-small cell lung cancer

(2018) Shaimaa Bakr et al.   Scientific Data

Associations between clinical data and computed tomography features in patients with epidermal growth factor receptor mutations in lung adenocarcinoma

(2017) Yiyuan Cao et al.   International Journal of Clinical Oncology

Lung cancer: current therapies and new targeted treatments

(2017) Fred R Hirsch et al.   LANCET

Novel and powerful 3D adaptive crisp active contour method applied in the segmentation of CT lung images

(2017) Pedro Pedrosa Rebouças Filho et al.   MEDICAL IMAGE ANALYSIS

Current WHO guidelines and the critical role of immunohistochemical markers in the subclassification of non-small cell lung carcinoma (NSCLC): Moving from targeted therapy to immunotherapy

(2017) Lais Osmani et al.   SEMINARS IN CANCER BIOLOGY

EGFR TKI as first-line treatment for patients with advanced EGFR mutation-positive non-small-cell lung cancer

(2017) Xueli Nan et al.   Oncotarget

Computed tomography and clinical features associated with epidermal growth factor receptor mutation status in stage I/II lung adenocarcinoma

(2017) Jiawei Zou et al.   Thoracic Cancer

CT characteristics of non-small cell lung cancer with epidermal growth factor receptor mutation: a systematic review and meta-analysis

(2017) Zenghui Cheng et al.   BMC MEDICAL IMAGING

Biopsy and re-biopsy in lung cancer: the oncologist requests and the role of endobronchial ultrasounds transbronchial needle aspiration

(2017) Alessandro Tuzi et al.   Journal of Thoracic Disease

Predictive radiogenomics modeling of EGFR mutation status in lung cancer

(2017) Olivier Gevaert et al.   Scientific Reports

Lung Adenocarcinoma in Never Smokers: Problems of Primary Prevention from Aspects of Susceptible Genes and Carcinogens

(2016) ISAO OKAZAKI et al.   ANTICANCER RESEARCH

Non–Small Cell Lung Cancer, PD-L1, and the Pathologist

(2016) Keith M. Kerr et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Immune Checkpoint Therapy and the Search for Predictive Biomarkers

(2016) Padmanee Sharma   CANCER JOURNAL

Radiomic Features Are Associated With EGFR Mutation Status in Lung Adenocarcinomas

(2016) Ying Liu et al.   Clinical Lung Cancer

Present and future utility of computed tomography scanning in the assessment and management of COPD

(2016) Kristoffer Ostridge et al.   EUROPEAN RESPIRATORY JOURNAL

Risk factors for lung cancer worldwide

(2016) Jyoti Malhotra et al.   EUROPEAN RESPIRATORY JOURNAL

Current status and perspectives in translational biomarker research for PD-1/PD-L1 immune checkpoint blockade therapy

(2016) Weijie Ma et al.   Journal of Hematology & Oncology

The State of Lung Cancer Research: A Global Analysis

(2016) Ajay Aggarwal et al.   Journal of Thoracic Oncology

CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma

(2016) Ying Liu et al.   RADIOLOGY

Familial risk for lung cancer

(2016) Madiha Kanwal et al.   Oncology Letters

Targeted therapies for the treatment of non-small-cell lung cancer: Monoclonal antibodies and biological inhibitors

(2016) Ana P. S. Silva et al.   Human Vaccines & Immunotherapeutics

Many Is Better Than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images

(2016) Zhenghao Shi et al.   Biomed Research International

Radiomics applied to lung cancer: a review

(2016) Madeleine Scrivener et al.   Translational Cancer Research

Supervised recursive segmentation of volumetric CT images for 3D reconstruction of lung and vessel tree

(2015) Xuanping Li et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Clinical and Organizational Factors in the Initial Evaluation of Patients With Lung Cancer

(2013) David E. Ost et al.   CHEST

Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening

(2011)   NEW ENGLAND JOURNAL OF MEDICINE