XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification

Asmaa Abbas; Mohamed Medhat Gaber; Mohammed M. Abdelsamea

doi:10.3390/s22249875

XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification

Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea

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

3 Citations (SciVal)

Original language	English
Journal	Sensors (Switzerland)
Volume	22
Issue number	24
DOIs	https://doi.org/10.3390/s22249875
Publication status	Published (VoR) - 15 Dec 2022

Keywords

convolutional neural networks
data irregularities
explainable artificial intelligence
medical images classification
unsupervised pre-training

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10.3390/s22249875

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title = "XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification",

keywords = "convolutional neural networks, data irregularities, explainable artificial intelligence, medical images classification, unsupervised pre-training",

author = "Asmaa Abbas and Gaber, {Mohamed Medhat} and Abdelsamea, {Mohammed M.}",

year = "2022",

month = dec,

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volume = "22",

journal = "Sensors (Switzerland)",

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T2 - Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification

AU - Abbas, Asmaa

AU - Gaber, Mohamed Medhat

AU - Abdelsamea, Mohammed M.

PY - 2022/12/15

Y1 - 2022/12/15

KW - convolutional neural networks

KW - data irregularities

KW - explainable artificial intelligence

KW - medical images classification

KW - unsupervised pre-training

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M3 - Article

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VL - 22

JO - Sensors (Switzerland)

JF - Sensors (Switzerland)

IS - 24

ER -

XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification

Keywords

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