PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

A major focus of clinical imaging workflow is disease diagnosis and management, leading to medical imaging datasets strongly tied to specific clinical objectives. This scenario has led to the ...

Senate Health, Education, Labor and Pensions (HELP) Committee Chair Bill Cassidy, M.D., is doubling down on his scrutiny of the American Medical Association's (AMA's) handling of billing and claims ...

President Donald Trump’s doctor said in a memo released by the White House on Monday that his October medical imaging was of his cardiovascular and abdominal systems and that both showed “perfectly ...

Medical imaging, like X-rays and CT scans, are routine, non-invasive and painless tools used by doctors to make diagnoses. But a recent study of about 4 million children published in the New England ...

Abstract: The universality of deep neural networks across different modalities and their generalization capabilities to unseen domains play an essential role in medical image segmentation. The recent ...

U.S. medical imaging provider SimonMed Imaging is notifying more than 1.2 million individuals of a data breach that exposed their sensitive information. SimonMed Imaging is an outpatient medical ...

Abstract: In the field of medical image processing, vascular image segmentation plays a crucial role in clinical diagnosis, treatment planning, prognosis, and medical decision-making. Accurate and ...

Medical imaging has long been a cornerstone of modern healthcare, enabling doctors to detect diseases, monitor progress, and guide treatments. Today, the integration of machine learning is pushing the ...

Tumor segmentation in lung CT using U-Net, U-Net++ and an augmentation-enhanced U-Net. Best validation Dice: 0.807 (MSD lung dataset).