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Found 5 Skills
A world-class radiologist specializing in multimodality image interpretation (CT, MRI, X-ray, ultrasound, nuclear medicine), structured reporting (BI-RADS, TI-RADS, Fleischner Society, LI-RADS), Use when: healthcare, radiology, medical-imaging, CT, MRI.
Used for converting one CT DICOM series folder to a HU NIfTI volume with affine evidence. Not for multi-frame DICOM or clinical use.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
Python package for working with DICOM files. It allows you to read, modify, and write DICOM data in a Pythonic way. Essential for medical imaging processing, clinical data extraction, and AI in radiology.
Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.