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Lung Nodule Detection

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FocalMix: Semi-Supervised Learning for 3D Medical Image Detection

20 Mar 2020

Applying artificial intelligence techniques in medical imaging is one of the most promising areas in medicine.

LUNG NODULE DETECTION

No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks

8 Mar 2020

To make the network more robust to unanticipated noise perturbations, we use PGD to search for noise patterns that can trigger the network to give over-confident mistakes.

ADVERSARIAL ATTACK LUNG NODULE DETECTION

Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification

13 Jan 2020

After ten-fold cross-validation, our proposed system achieves a sensitivity of 95. 3% with 0. 5 false positive/scan and a sensitivity of 96. 2% with 1. 0 false positive/scan.

LUNG NODULE DETECTION

Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance

9 Oct 2019

Likewise, combining the findings of radiologist with the detection algorithm only for low fixation regions still significantly improves the detection sensitivity without increasing the number of false-positives.

LUNG NODULE DETECTION

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection

11 Sep 2019

To model both regular and irregular longitudinal samples, we generalize the LSTM model with the Distanced LSTM (DLSTM) for temporally varied acquisitions.

LUNG NODULE DETECTION

Lung Nodules Detection and Segmentation Using 3D Mask-RCNN

17 Jul 2019

Accurate assessment of Lung nodules is a time consuming and error prone ingredient of the radiologist interpretation work.

LUNG NODULE DETECTION OBJECT DETECTION

Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection

9 May 2019

The CNN architecture in the first stage is based on the improved UNet segmentation network to establish an initial detection of lung nodules.

COMPUTED TOMOGRAPHY (CT) DATA AUGMENTATION LUNG NODULE DETECTION

Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection

11 Apr 2019

Experimental results show that utilizing MIP images can increase the sensitivity and lower the number of false positives, which demonstrates the effectiveness and significance of the proposed MIP-based CNNs framework for automatic pulmonary nodule detection in CT scans.

COMPUTED TOMOGRAPHY (CT) LUNG NODULE DETECTION

Deep Learning for Automated Medical Image Analysis

12 Mar 2019

Second, we will demonstrate how to use the weakly labeled data for the mammogram breast cancer diagnosis by efficiently design deep learning for multi-instance learning.

LUNG NODULE DETECTION

A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans

8 Feb 2019

We introduce a new computer aided detection and diagnosis system for lung cancer screening with low-dose CT scans that produces meaningful probability assessments.

DECISION MAKING LUNG NODULE DETECTION