Abstract: Accurate and automatic segmentation of lifespan brain MRI into regions of interest (ROIs) is crucial for studying brain development, aging, and early diagnosis of neurological diseases.

This package provides seamless integration of pre-trained image segmentation models from Ilastik into Python workflows, empowering users with efficient and intuitive ...

Automatic image segmentation in nasopharyngeal carcinoma has become indispensable for precise delineation of tumour volumes in radiotherapy planning. Traditional manual contouring is labour-intensive ...

Journal of Nuclear Medicine Technology April 2026, jnmt.125.271114; DOI: https://doi.org/10.2967/jnmt.125.271114 ...

The Selective Service System plans to automatically register eligible American men between ages 18 and 26 for a U.S. military draft by the end of 2026. The proposal would implement a requirement ...

Prevent Renovate from opening automatic PRs that change the repository Python toolchain baseline, for example .python-version, when that baseline is intentionally managed as a manual policy decision, ...

It’s that time of the year in college basketball. The snow is melting. The days are lengthening. March is madnessing. College basketball’s conference tournament week is officially in the books, with ...

Diffuse midline glioma (DMG) is a fatal tumor that emerges in the brainstem and thalamus. Compared with microsurgery and chemotherapy, radiotherapy is currently regarded as a safer and more effective ...

Accurate segmentation of intracranial aneurysms (IAs) is a prerequisite for reliable morphometric analysis, rupture risk assessment, and computational fluid dynamics (CFD) modeling. Manual annotation, ...

1 School of Science, Tianjin University of Technology and Education, Tianjin, China. 2 School of Big Data, Lvliang Vocational and Technical College, Lvliang, China. Early image segmentation was mainly ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...