computer-assisted diagnosis

Radiologists with and without deep learning–based computer-aided diagnosis

When radiologists encounter pulmonary nodules/masses in computed tomography (CT) images, they diagnose malignancy based on lesion characteristics (e.g.,...

Shoji Kido

8 months ago

Radiologists with and without deep learning–based computer-aided diagnosis

Automatic prediction of left cardiac chamber enlargement from chest radiographs using convolutional neural network

The aim of this study was to develop deep learning-based cardiac chamber enlargement-detection algorithms for left atrial (DLCE-LAE) and ventricular...

European Radiology

2 years ago

Automatic prediction of left cardiac chamber enlargement from chest radiographs using convolutional neural network

Proposing a deep learning-based method for improving the diagnostic certainty of pulmonary nodules in CT scan of chest

The aim of this study was to compare the performance of a deep learning (DL)-based method used for diagnosing pulmonary nodules compared with the diagnostic...

European Radiology

2 years ago

Proposing a deep learning-based method for improving the diagnostic certainty of pulmonary nodules in CT scan of chest

Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals

Chest radiographs (CRs) have long been used as one of the screening tests for pulmonary tuberculosis (TB). However, the interpretation of a large number of...

Chang Min Park

2 years ago

Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals

Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

In this study, the authors retrospectively collected 2,088 abnormal and 352 normal chest radiographs from two institutions in order to investigate the optimal...

European Radiology

3 years ago

Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

MRI radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study

This study aimed to assess whether MRI radiomics can categorize ovarian masses and to determine the association between MRI radiomics and survival among...

European Radiology

4 years ago

MRI radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study

Using machine learning to predict cervical lymph node metastasis on dual-energy CT

In this article, we extracted “hand-crafted” radiomic features from dual-energy CT (DECT) virtual monochromatic images (VMIs) reconstructed at different...

Reza Forghani

4 years ago

computer-assisted diagnosis

Radiologists with and without deep learning–based computer-aided diagnosis

Automatic prediction of left cardiac chamber enlargement from chest radiographs using convolutional neural network

Proposing a deep learning-based method for improving the diagnostic certainty of pulmonary nodules in CT scan of chest

Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals

Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

MRI radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study

Using machine learning to predict cervical lymph node metastasis on dual-energy CT

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

Latest posts

Radiologists with and without deep learning–based computer-aided diagnosis

Automatic prediction of left cardiac chamber enlargement from chest radiographs using convolutional neural network

Proposing a deep learning-based method for improving the diagnostic certainty of pulmonary nodules in CT scan of chest

Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals

Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

MRI radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study

Using machine learning to predict cervical lymph node metastasis on dual-energy CT

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

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