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Lung Nodule Classification

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Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization

2 Jan 2019

In this paper, a non-stationary kernel is proposed which allows the surrogate model to adapt to functions whose smoothness varies with the spatial location of inputs, and a multi-level convolutional neural network (ML-CNN) is built for lung nodule classification whose hyperparameter configuration is optimized by using the proposed non-stationary kernel based Gaussian surrogate model.

HYPERPARAMETER OPTIMIZATION LUNG NODULE CLASSIFICATION

Gated-Dilated Networks for Lung Nodule Classification in CT scans

1 Jan 2019

Different types of Convolutional Neural Networks (CNNs) have been applied to detect cancerous lung nodules from computed tomography (CT) scans.

LUNG NODULE CLASSIFICATION

Classification of lung nodules in CT images based on Wasserstein distance in differential geometry

30 Jun 2018

The Wasserstein distance between the nodules is calculated based on our new spherical optimal mass transport, this new algorithm works directly on sphere by using spherical metric, which is much more accurate and efficient than previous methods.

3D SHAPE ANALYSIS LUNG NODULE CLASSIFICATION

Fast CapsNet for Lung Cancer Screening

19 Jun 2018

We show that CapsNets significantly outperforms CNNs when the number of training samples is small.

IMAGE RECONSTRUCTION LUNG NODULE CLASSIFICATION

Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction

10 Feb 2018

Refer to the literature of lung nodule classification, many studies adopt Convolutional Neural Networks (CNN) to directly predict the malignancy of lung nodules with original thoracic Computed Tomography (CT) and nodule location.

LUNG NODULE CLASSIFICATION LUNG NODULE SEGMENTATION MULTI-TASK LEARNING

Lung Nodule Classification by the Combination of Fusion Classifier and Cascaded Convolutional Neural Networks

19 Nov 2017

In this paper, we propose Fusion classifier in conjunction with the cascaded convolutional neural network models.

LUNG NODULE CLASSIFICATION

Lung Cancer Screening Using Adaptive Memory-Augmented Recurrent Networks

11 Oct 2017

In this paper, we investigate the effectiveness of deep learning techniques for lung nodule classification in computed tomography scans.

LUNG NODULE CLASSIFICATION

Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization

19 Aug 2017

TPE or random search was used for parameter optimization of SVM and XGBoost.

LUNG NODULE CLASSIFICATION

Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images

1 Mar 2017

Lung nodule classification is a class imbalanced problem because nodules are found with much lower frequency than non-nodules.

LUNG NODULE CLASSIFICATION