Mobile QR Code QR CODE

2024

Acceptance Ratio

21%

※ The user interface design of www.ieiespc.org has been recently revised and updated. Please contact inter@theieie.org for any inquiries regarding paper submission.

Journal Search

  1. Home
  2. Archive
  3. 2023-12 (Vol.12 No.06)
  4. 10.5573/IEIESPC.2023.12.6.502
XML PDF INFO REF

REFERENCES

1 
M. Chen, B. Zhang, W. Topatana, J. Cao, H. Zhu, S. Juengpanich, Q. Mao, H. Yu, X. Cai,`` Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning,'' NPJ precision oncology, vol. 4, no. 1, p. 14, 2020.DOI
2 
A. Kiani, B. Uyumazturk, P. Rajpurkar, A. Wang, R. Gao, E. Jones, Y. Yu, C.P Langlotz, R.L. Ball, T.J. Montine. B. A. Martin,``Impact of a deep learning assistant on the histopathologic classification of liver cancer,'' NPJ digital medicine, vol. 3, no. 1, p. 23, 2020.DOI
3 
P. Narmatha, S. Gupta, T. V. Lakshmi, D. Manikavelan, ``Skin cancer detection from dermoscopic images using Deep Siamese domain adaptation convolutional Neural Network optimized with Honey Badger Algorithm,'' Biomedical Signal Processing and Control, vol. 86, no. 1, p. 105264, 2023. hDOI
4 
M. Fujita, R. Yamaguchi, T. Hasegawa, S. Shimada, K. Arihiro, S. Hayashi, K. Maejima, K. Nakano, A. Fujimoto, A. Ono, H. Aikata,``Classification of primary liver cancer with immunosuppression mechanisms and correlation with genomic alterations, EBioMedicine, vol. 53, no. 1, p. 102659, 2020.DOI
5 
A. Krishan, D. Mittal, ``Ensembled liver cancer detection and classification using CT images,'' Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 235, no. 2, pp. 232-244, 2021.DOI
6 
M. Shahram, K. Nayebi, ``ECG beat classification based on a cross-distance analysis,'' In Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat. No. 01EX467) (Vol. 1, pp. 234-237). IEEE. 2001.DOI
7 
S. Naeem, A. Ali, S. Qadri, W. Khan Mashwani, N. Tairan, H. Shah, M. Fayaz, F. Jamal, C Chesneau,. S Anam, ``Machine-learning based hybrid-feature analysis for liver cancer classification using fused (MR and CT) images,'' Applied Sciences, vol. 10, no. 9, p. 3134, 2020.DOI
8 
C. Sun, A. Xu, D. Liu, Z. Xiong, F. Zhao, W. Ding, ``Deep learning-based classification of liver cancer histopathology images using only global labels'', IEEE journal of biomedical and health informatics, vol. 24, no. 6, pp. 1643-1651, 2019.DOI
9 
A. Das, U.R. Acharya, S.S. Panda, S. Sabut,``Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques,'' Cognitive Systems Research, vol. 54, no. 1, pp. 165-175, 2019.DOI
10 
A. Khamparia, A. Singh, D. Anand, D. Gupta, A. Khanna, N. Arun Kumar, J. Tan,``A novel deep learning-based multi-model ensemble method for the prediction of neuromuscular disorders,'' Neural computing and applications, vol. 32, no. 1, pp. 11083-11095, 2020.DOI
11 
https://figshare.com/articles/dataset/MedSeg_Liver_segments_dataset/13643252URL
12 
https://www.kaggle.com/datasets/andrewmvd/liver-tumor-segmentation-part-2URL
13 
M.P. Kumar, B. Poornima, H.S. Nagendraswamy, C. Manjunath, ``Structure-preserving NPR framework for image abstraction and stylization,'' The Journal of Supercomputing, vol. 77, no. 8, pp. 8445-8513, 2021.DOI
14 
F. Shen, Y. Wang, C. Liu, ``Change detection in SAR images based on improved non-subsampled Shearlet transform and multi-scale feature fusion CNN,''IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, no. 1, pp. 12174-12186, 2021.DOI
15 
M. Suganthy, S. Ashok, A. Uma Maheswari, T. D. Subha,. ``Recalling‐enhanced recurrent neural network optimized with wood pecker mating algorithm for brain tumor classification,'' Concurrency and Computation: Practice and Experience, vol. 1, no. 1, p. e7729, 2023.DOI
16 
S.R. Kheradpisheh, M. Mirsadeghi, T. Masquelier, ``Bs4nn: Binarized spiking neural networks withtemporal coding and learning,'' Neural Processing Letters, vol. 54, no. (2), pp. 1255-1273, 2022.DOI
17 
M. Zaeimi, A. Ghoddosian, ``Color harmony algorithm: an art-inspired metaheuristic for mathematical function optimization,'' Soft Computing, vol. 24, no. 16, pp. 12027-12066, 2020.DOI
18 
O.I. Alirr, “Deep learning and level set approach for liver and tumor segmentation from CT scans,” Journal of Applied Clinical Medical Physics, vol. 21, no. 10, pp. 200-209, 2020.DOI