Items where Division is "School of Computing" and Year is 2023
A
Ahmad, Mohammed and Du, Hongbo and AlZoubi, Alaa (2023) ENAS-B: Combining ENAS with Bayesian Optimisation for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification from Ultrasound Images. Ultrasound Imaging. ISSN 0161-7346 (In Press)
AlZoubi, Alaa and Lu, Feng and Zhu, Yi-Cheng and Ying, Tao and Ahmed, Mohmmed and Du, Hongbo (2023) Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design. Medical & Biological Engineering & Computing. ISSN 1741-0444
B
Bose, Anu (2023) Breast Lesion Detection in Ultrasound Images Using Deep Neural Networks: Clustering Based Approach for False Positive Reduction. Doctoral thesis, The University Of Buckingham.
D
Dassanayake Mudiyanselage, Madara Premawardhana and Sellahewa, Harin (2023) Digital Twins as a Framework for IoT Applications: A Review. In: 2023 7th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI). IEEE, pp. 1-6. ISBN 9798350319262
G
Ghafuri, Jehan Sherwan Ziad (2023) Algebraic, Topological, and Geometric Driven Convolutional Neural Networks for Ultrasound Imaging Cancer Diagnosis. Doctoral thesis, The University Of Buckingham.
H
Hassan, Tahir Mohammed (2023) Image Data Preparation For CNN-based Breast Ultrasound Lesion Diagnostic with Reduced Overfitting. Doctoral thesis, The University Of Buckingham.
M
Madara, Premawardhana and Menatallah, Abdel Azeem and Sandeep, Singh Sengar and Soumyabrata, Dev (2023) On the Impact of Temperature for Precipitation Analysis. In: Evolution in Computational Intelligence. FICTA 2023. Smart Innovation, Systems and Technologies, 370 . Springer, Singapore, pp. 173-186. ISBN 978-981-99-6701-8
S
Saleela, Divya and Ali, Athar and Ibrahim, Nasir and Suresh, L Padma (2023) Automated Models for the Classification of Magnetic Resonance Brain Tumour Images. 2023 28th International Conference on Automation and Computing (ICAC). pp. 1-6.
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