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Greatest papers with code

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

2 Jan 2019automl/fanova

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 HYPERPARAMETER OPTIMIZATION LUNG NODULE CLASSIFICATION

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

25 Jan 2018uci-cbcl/DeepLung

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

COMPUTED TOMOGRAPHY (CT) LUNG NODULE CLASSIFICATION

Fast CapsNet for Lung Cancer Screening

19 Jun 2018amobiny/Fast_CapsNet

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

COMPUTED TOMOGRAPHY (CT) IMAGE RECONSTRUCTION LUNG NODULE CLASSIFICATION

Lung Nodule Classification using Deep Local-Global Networks

23 Apr 2019mundher/local-global

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.

COMPUTED TOMOGRAPHY (CT) LUNG NODULE CLASSIFICATION TRANSFER LEARNING