solitary pulmonary nodule

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

6 months ago

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

Radiomic nomogram predicts pathology invasiveness

The purpose of this retrospective diagnostic study was to develop and validate a preoperative CT-based nomogram combined with radiomic and...

European Radiology

1 year ago

Radiomic nomogram predicts pathology invasiveness

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

1 year ago

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

Test-retest reproducibility of a deep learning–based automatic detection algorithm for the chest radiograph

The authors of this retrospective study performed test-retest reproducibility analyses for a deep learning-based automatic detection algorithm (DLAD) using...

European Radiology

3 years ago

Test-retest reproducibility of a deep learning–based automatic detection algorithm for the chest radiograph

Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning–assisted nodule segmentation

The aim of this study was to investigate the natural history of pulmonary pure ground-glass nodules (pGGNs) with deep learning (DL)-assisted nodule...

European Radiology

3 years ago

solitary pulmonary nodule

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

Radiomic nomogram predicts pathology invasiveness

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

Test-retest reproducibility of a deep learning–based automatic detection algorithm for the chest radiograph

Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning–assisted nodule segmentation

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

Radiomic nomogram predicts pathology invasiveness

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

Test-retest reproducibility of a deep learning–based automatic detection algorithm for the chest radiograph

Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning–assisted nodule segmentation

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

Most used hashtags

Latest posts