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Lung Nodule Segmentation

7 papers with code ยท Medical

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U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentation

20 Mar 2020

Early diagnosis and analysis of lung cancer involve a precise and efficient lung nodule segmentation in computed tomography (CT) images.

COMPUTED TOMOGRAPHY (CT) LUNG NODULE SEGMENTATION

Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View Residual Learning

31 Dec 2019

The proposed technique can be segregated into two stages, at the first stage, it takes a 2-D ROI containing the nodule as input and it performs patch-wise investigation along the axial axis with a novel adaptive ROI strategy.

LUNG NODULE SEGMENTATION

Dual-branch residual network for lung nodule segmentation

21 May 2019

Experimental results show that the DB-ResNet achieves superior segmentation performance with an average dice score of 82. 74% on the dataset.

COMPUTED TOMOGRAPHY (CT) LUNG NODULE SEGMENTATION

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.

COMPUTED TOMOGRAPHY (CT) LUNG NODULE CLASSIFICATION LUNG NODULE SEGMENTATION MULTI-TASK LEARNING

Filter sharing: Efficient learning of parameters for volumetric convolutions

8 Dec 2016

Typical convolutional neural networks (CNNs) have several millions of parameters and require a large amount of annotated data to train them.

LUNG NODULE SEGMENTATION