medical-imaging-review
bybrycewang-stanford· 161 skills
Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.
How to install medical-imaging-review?
brycewang-stanford/auto-empirical-research-skills/medical-imaging-review
$npx -y skills add brycewang-stanford/auto-empirical-research-skills --skill medical-imaging-reviewInstalls into the current project.
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Run `npx skills use "https://github.com/brycewang-stanford/auto-empirical-research-skills" --skill "brycewang-stanford/auto-empirical-research-skills/medical-imaging-review"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/brycewang-stanford/auto-empirical-research-skills" that are relevant to the current task. Run `npx skills add "https://github.com/brycewang-stanford/auto-empirical-research-skills"` and select the relevant skills, then follow their instructions.
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