RAPTOR+: A Visually Grounded Vision-Language Framework to Improve Clinical Trust and Auditability in Automated Cancer Referral Processing

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@techreport{9c2cc8fc79784255a6193faf6e825e71,

title = "RAPTOR+: A Visually Grounded Vision-Language Framework to Improve Clinical Trust and Auditability in Automated Cancer Referral Processing",

author = "S. Abioye and U. Khan and S. Ashraf and A. Jose and A. Byfield and L. Akanbi and M. Bilal",

year = "2026",

month = may,

day = "26",

doi = "10.48550/arXiv.2605.25956",

language = "English",

type = "WorkingPaper",

}

TY - UNPB

T1 - RAPTOR+: A Visually Grounded Vision-Language Framework to Improve Clinical Trust and Auditability in Automated Cancer Referral Processing

AU - Abioye, S.

AU - Khan, U.

AU - Ashraf, S.

AU - Jose, A.

AU - Byfield, A.

AU - Akanbi, L.

AU - Bilal, M.

PY - 2026/5/26

Y1 - 2026/5/26

UR - https://www.scopus.com/inward/record.url?eid=2-s2.0-105042800062&partnerID=MN8TOARS

U2 - 10.48550/arXiv.2605.25956

DO - 10.48550/arXiv.2605.25956

M3 - Preprint

BT - RAPTOR+: A Visually Grounded Vision-Language Framework to Improve Clinical Trust and Auditability in Automated Cancer Referral Processing

ER -