Martin Lillholm

Professor

ORCID: 0000-0002-1402-6899

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Classifying local image symmetry using a co-localised family of linear filters
Griffin, L. D. & Lillholm, Martin, 2008, In: Perception. 37, Supplement, p. 122-122 1 p.
Research output: Contribution to journal › Conference abstract in journal › Research
Larger feature alphabets can improve object recognition even with simpler visual words
Lillholm, Martin & Griffin, L., 2008, In: Perception. 37, Supplement, p. 33-33 1 p.
Research output: Contribution to journal › Conference abstract in journal › Research
Novel image feature alphabets for object recognition
Lillholm, Martin & Griffin, L., 2008, 19th International Conference on Pattern Recognition, 2008: ICPR 2008.. IEEE, 4 p.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

ID: 152298477

1638 downloads
Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
Research output: Contribution to journal › Journal article › Research › peer-review
Published
643 downloads
Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study
Research output: Contribution to journal › Journal article › Research › peer-review
Published
355 downloads
Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
Research output: Contribution to journal › Journal article › Research › peer-review
Published