Lung Nodule Classification

6 papers with code • 1 benchmarks • 1 datasets

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Greatest papers with code

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

automl/fanova 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.

Gaussian Processes General Classification +2

DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification

uci-cbcl/DeepLung 25 Jan 2018

DeepLung consists of two components, nodule detection (identifying the locations of candidate nodules) and classification (classifying candidate nodules into benign or malignant).

Classification Computed Tomography (CT) +2

Fast CapsNet for Lung Cancer Screening

amobiny/Fast_CapsNet 19 Jun 2018

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

Computed Tomography (CT) General Classification +2

Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification

fei-hdu/NAS-Lung 19 Jan 2021

Besides, empirical study shows that the reasoning process of learned networks is in conformity with physicians' diagnosis.

Classification General Classification +3

Lung Nodule Classification using Deep Local-Global Networks

mundher/local-global 23 Apr 2019

In this paper, we propose a novel method to predict the malignancy of nodules that have the capability to analyze the shape and size of a nodule using a global feature extractor, as well as the density and structure of the nodule using a local feature extractor.

Classification Computed Tomography (CT) +3