Henrique Min Ho Lee
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View article: Clinical Validation of a Deep Learning Model forSegmenting and Quantifying Intracranial andVentricular Volumes on Computed Tomography
Clinical Validation of a Deep Learning Model forSegmenting and Quantifying Intracranial andVentricular Volumes on Computed Tomography Open
The field of radiology is experiencing a surge in demand due to advances in medical imaging, particularly in techniques suchas magnetic resonance imaging and computed tomography (CT). However, the interpretation of these scans relies heavi…
View article: Natural language processing in the classification of radiology reports in benign gallbladder diseases
Natural language processing in the classification of radiology reports in benign gallbladder diseases Open
Objective: To develop a natural language processing application capable of automatically identifying benign gallbladder diseases that require surgery, from radiology reports. Materials and Methods: We developed a text classifier to classif…
View article: DeepVox and SAVE-CT: a contrast- and dose-independent 3D deep learning approach for thoracic aorta segmentation and aneurysm prediction using computed tomography scans
DeepVox and SAVE-CT: a contrast- and dose-independent 3D deep learning approach for thoracic aorta segmentation and aneurysm prediction using computed tomography scans Open
Thoracic aortic aneurysm (TAA) is a fatal disease which potentially leads to dissection or rupture through progressive enlargement of the aorta. It is usually asymptomatic and screening recommendation are limited. The gold-standard evaluat…
View article: Artificial intelligence for automated thoracic aorta diameter measurement using different computed tomography protocols
Artificial intelligence for automated thoracic aorta diameter measurement using different computed tomography protocols Open
This study aimed to develop an automated 3-dimensional (3D) segmentation method for measuring the diameter of the thoracic aorta using different computed tomography (CT) protocols. A total of 587 CT scans were retrospectively analysed, and…
View article: Artificial intelligence for automated thoracic aorta diameter measurement using different computed tomography protocols
Artificial intelligence for automated thoracic aorta diameter measurement using different computed tomography protocols Open
Introduction Thoracic aortic aneurysm diameter determination is paramount for the decision-making process regarding surgical management. Studies focusing in asymptomatic patients have determined prevalence of 0.16 to 0.36% of TAAs in imagi…
View article: Evaluating Progress in Automatic Chest X-Ray Radiology Report Generation
Evaluating Progress in Automatic Chest X-Ray Radiology Report Generation Open
The application of AI to medical image interpretation tasks has largely been limited to the identification of a handful of individual pathologies. In contrast, the generation of complete narrative radiology reports more closely matches how…