Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Detection of pneumonia clouds in chest X-ray using image processing approach
Image segmentation for lung region in chest X-ray images using edge detection and morphology
Performance comparison of lung ultrasound and chest x-ray for the diagnosis of pneumonia in the ED.
Performance analysis of various machine learning-based approaches for detection and classification of lung cancer in humans
Convolutional neural networks for lung cancer screening in computed tomography (CT) scans
Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images
Toward automated segmentation of the pathological lung in CT
Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction
An Appraisal of Lung Nodules Automatic Classification Algorithms for CT Images
Performance comparison of image segmentation techniques for lung nodule detection in CT images
Lung nodule segmentation and recognition using SVM classifier and active contour modeling: A complete intelligent system
A region based active contour method for x-ray lung segmentation using prior shape and low level features
Large residual multiple view 3D CNN for false positive reduction in pulmonary nodule detection
An efficient data mining classification approach for detecting lung cancer disease
A Hybrid Approach to Segmentation of Diseased Lung Lobes
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification
Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification
Lung nodule detection based on 3D convolutional neural networks
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
Detection and classification of lung abnormalities by use of convolutional neural network (CNN) and regions with CNN features (R-CNN)
Deep Convolutional Neural Networks for Lung Cancer Detection
mfcc and its applications in speaker recognition .
Suicide as an outcome for mental disorders. A meta-analysis
Robust Principal Component Analysis with Complex Noise
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams
A Computational Approach toEdgeDetection