1 code implementation • 24 Jan 2024 • Chollette C. Olisah
Despite the advancement in computational modeling towards brain tumor segmentation, of which several models have been developed, it is evident from the computational complexity of existing models which are still at an all-time high, that performance and efficiency under clinical application scenarios are limited.
no code implementations • 9 Jan 2024 • Chollette C. Olisah, Ben Trewhella, Bo Li, Melvyn L. Smith, Benjamin Winstone, E. Charles Whitfield, Felicidad Fernández Fernández, Harriet Duncalfe
To address this engineering application challenge, this paper proposes a novel multi-input convolutional neural network (CNN) ensemble classifier for detecting subtle traits of ripeness in blackberry fruits.
no code implementations • 8 Jan 2024 • Simisola Odimayo, Chollette C. Olisah, Khadija Mohammed
Therefore, our model itself as a potential brain structural change Digi-Biomarker for early diagnosis of AD.
no code implementations • 5 Jan 2024 • Paul Brimoh, Chollette C. Olisah
This presents a challenge which puts a genuine signer at risk of being denied access, while a forge signer is granted access.
no code implementations • 27 Mar 2019 • Chollette C. Olisah, Lyndon Smith
Others are termed the unconventional preprocessors, they are: color space converters; HSV, CIE L*a*b* and YCBCR, grey-level resolution preprocessors; full-based and plane-based image quantization, illumination normalization and insensitive feature preprocessing using: histogram equalization (HE), local contrast normalization (LN) and complete face structural pattern (CFSP).
no code implementations • 28 Apr 2017 • Chollette C. Olisah, Solomon Nunoo, Peter Ofedebe, Ghazali Sulong
Beneath the uncertain primitive visual features of face images are the primitive intrinsic structural patterns (PISP) essential for characterizing a sample face discriminative attributes.