Leukemia cell detection system using advanced segmentation and a fine-tuned ResNet50 model, with a complete backend API and Streamlit-based frontend. A deep learning system that analyzes medical ...

Abstract: Foundation models for interactive segmentation in 2D natural images and videos have sparked significant interest in building 3D foundation models for medical imaging. However, the domain ...

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 ...

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 ...

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).

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 ...

The Python team at Microsoft is continuing its overhaul of environment management in Visual Studio Code, with the August 2025 release advancing the controlled rollout of the new Python Environments ...