Highly accurate model for prediction of lung nodule malignancy with CT scans

02/06/2018
by   Jason Causey, et al.
0

Computed tomography (CT) examinations are commonly used to predict lung nodule malignancy in patients, which are shown to improve noninvasive early diagnosis of lung cancer. It remains challenging for computational approaches to achieve performance comparable to experienced radiologists. Here we present NoduleX, a systematic approach to predict lung nodule malignancy from CT data, based on deep learning convolutional neural networks (CNN). For training and validation, we analyze >1000 lung nodules in images from the LIDC/IDRI cohort. All nodules were identified and classified by four experienced thoracic radiologists who participated in the LIDC project. NoduleX achieves high accuracy for nodule malignancy classification, with an AUC of 0.99. This is commensurate with the analysis of the dataset by experienced radiologists. Our approach, NoduleX, provides an effective framework for highly accurate nodule malignancy prediction with the model trained on a large patient population. Our results are replicable with software available at http://bioinformatics.astate.edu/NoduleX.

READ FULL TEXT

page 8

page 15

page 16

research
11/25/2019

Lung Cancer Detection and Classification based on Image Processing and Statistical Learning

Lung cancer is one of the death threatening diseases among human beings....
research
02/10/2018

Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction

Refer to the literature of lung nodule classification, many studies adop...
research
09/21/2019

Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks

Early diagnosis of pathological invasiveness of pulmonary adenocarcinoma...
research
07/27/2022

3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis

Pathologies systematically induce morphological changes, thus providing ...
research
03/19/2018

Diagnostic Classification Of Lung Nodules Using 3D Neural Networks

Lung cancer is the leading cause of cancer-related death worldwide. Earl...
research
09/16/2017

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

In this work, we present a fully automated lung CT cancer diagnosis syst...

Please sign up or login with your details

Forgot password? Click here to reset