The Felix Project: A Lustgarten Initiative
Deep Learning for Radiologists
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Everything you need to know about Computed Tomography (CT) & CT Scanning
Everything you need to know about Computed Tomography (CT) & CT Scanning
Login to CTisus.com to explore our new dashboard. You will be able to see your previously viewed lectures, case studies, and quiz scores as well as customize your profile.
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CTisus.com is the premier radiological website dedicated to computed tomography (CT) scanning. Founded by Professor Elliot K. Fishman, MD, this website has an expansive library of content ranging from CT scan protocols, lectures, and case studies to medical illustrations and a monthly quiz. CTisus.com provides the latest in radiology technology and 3D imaging information, and uploads new content daily. We are proud to be one of the best resources in medical education on CT scanning and radiology. Thank you for visiting.
Login to CTisus.com to explore our new dashboard. You will be able to see your previously viewed lectures, case studies, and quiz scores as well as customize your profile.
Deep learning is used in the research community and in industry to help solve many big data problems such as computer vision, speech recognition, and natural language processing.
Learning modules is enriched with various interactive topics. It presents educational materilas such as MDCT Atlas of Cross Sectional Anatomy, Normal Anatomy and Complications of Bariatric Surgery and Coronary Activity, Critical Diagnostic Measurements in CT and much more.
On the first of each month, we add a new quiz, pearls on various topics, and summaries of journal articles from leading medical journals to CTisus. These monthly updates all focus on providing the latest information in radiology research, diagnostic imaging, CT scanning, and practice management.
Deep Learning - AI and Reimbursement
Trauma - Small Bowel and Colon
Deep Learning - AI and Endoscopy
Colon - Artificial Intelligence (AI)
View moreMulti-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model
Boundary-Aware Network for Abdominal Multi-Organ Segmentation
View moreAccess over 300,000 CT Scans and the diagnosis that is identified for each case. The case studies range from CT Scans, MRI, and X-Rays, and are organized by anatomical region: Cardiac, Pancreas, Pediatric, Vascular, Gastrointestinal and more.
Our First Virtual CME!
Due to rapid advances in technology, radiologists and radiologic technologists often require a comprehensive review of recent advances in computed body tomography. This activity will focus on multidetector/multislice CT and newer systems including dual-source CT scanners.
Explore The Recorded Meeting Now!
