MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis

Research output: Working paper › Preprint

Access to Document

@techreport{c691fc936d97491a86ee8cb21ccc2ef8,

title = "MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis",

author = "A. Byfield and W. Poulett and B. Wallace and A. Jose and S. Tyagi and S. Shembekar and A. Qayyum and J. Qadir and M. Bilal",

year = "2023",

month = nov,

day = "23",

doi = "10.48550/arXiv.2311.13978",

language = "English",

type = "WorkingPaper",

}

TY - UNPB

T1 - MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis

AU - Byfield, A.

AU - Poulett, W.

AU - Wallace, B.

AU - Jose, A.

AU - Tyagi, S.

AU - Shembekar, S.

AU - Qayyum, A.

AU - Qadir, J.

AU - Bilal, M.

PY - 2023/11/23

Y1 - 2023/11/23

UR - https://www.scopus.com/inward/record.url?eid=2-s2.0-85179159287&partnerID=MN8TOARS

U2 - 10.48550/arXiv.2311.13978

DO - 10.48550/arXiv.2311.13978

M3 - Preprint

BT - MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary Analysis

ER -