Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data
Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge
Towards Robust Lung Segmentation in Chest Radiographs with Deep Learning
Computer aided lung cancer diagnosis with deep learning algorithms
comparing two classes of end - to - end machine - learning models in lung nodule detection and classification : mtanns vs . cnns .
Automatic Lung Cancer Prediction from Chest X-ray Images Using the Deep Learning Approach
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities
Automated pulmonary nodule CT image characterization in lung cancer screening
Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT
Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database
Lung Cancer Detection on CT Images by Using Image Processing
Fully automated lung lobe segmentation on volumetric chest CT with 3 D U-Net
Deep Convolutional Neural Networks for Chest Diseases Detection
Detection of Lung Cancer Using Backpropagation Neural Networks and Genetic Algorithm
Multiscale Rotation-Invariant Convolutional Neural Networks for Lung Texture Classification
Lung Cancer Detection using Image Processing Techniques
Fast CapsNet for Lung Cancer Screening
Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study
Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks
Lymph Nodes in Hidradenitis Suppurativa
Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Nanomaterials for Photo-Based Diagnostic and Therapeutic Applications
Estimating dynamic skin tension lines in vivo using 3D scans