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 ...

A deep learning-based medical imaging project for automatic brain tumor segmentation from multi-modal MRI scans using a 3D nnU-Net architecture with a Flask web interface.

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python Supreme Court ...

A giant python in need of urgent medical care turned a routine treatment into a dangerous struggle. This rare encounter shows the risks vets face when saving powerful reptiles. Top Navy official fired ...

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).

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 ...

1 School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China 2 School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ...

Assessing the risk of radiation-induced hematologic cancer from medical imaging in children and adolescents might support informed decisions on the use of imaging. We followed a retrospective cohort ...