See through the noise: revolutionizing medical image diagnosis with quadratic convolutional neural network (Q-CNN)

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Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	2615–2633
Journal	International Journal of Machine Learning and Cybernetics
Volume	16
DOIs	https://doi.org/10.1007/s13042-024-02411-0
Publication status	Published - 2024

Access to Document

@article{ba912ed9855a483d8260adc77dc38534,

title = "See through the noise: revolutionizing medical image diagnosis with quadratic convolutional neural network (Q-CNN)",

author = "Ki-Young Song and Tiong, \{Leslie Ching Ow\} and Yunli Lee",

year = "2024",

doi = "10.1007/s13042-024-02411-0",

language = "English",

volume = "16",

pages = "2615–2633",

journal = "International Journal of Machine Learning and Cybernetics",

issn = "1868-8071",

}

TY - JOUR

T1 - See through the noise: revolutionizing medical image diagnosis with quadratic convolutional neural network (Q-CNN)

AU - Song, Ki-Young

AU - Tiong, Leslie Ching Ow

AU - Lee, Yunli

PY - 2024

Y1 - 2024

U2 - 10.1007/s13042-024-02411-0

DO - 10.1007/s13042-024-02411-0

M3 - Article

SN - 1868-8071

VL - 16

SP - 2615

EP - 2633

JO - International Journal of Machine Learning and Cybernetics

JF - International Journal of Machine Learning and Cybernetics

ER -