A new local tetra pattern in composite planes (LTcP) technique for classifying brain tumors using partial least squares and super-pixel segmentation
By:
References
- Yang, F., Liu, Y., & Wei, H. (2020). Image-Based Human Protein Subcellular Location Prediction Using Local Tetra Patterns Descriptor. In The 8th International Conference on Computer Engineering and Networks (CENet2018) (pp. 463–473). Springer International Publishing.
- Song, T., Li, H., Meng, F., Wu, Q., & Luo, B. (2015). Exploring space–frequency co-occurrences via local quantized patterns for texture representation. Pattern Recognition, 48(8), 2621–2632.
- Prabha, B., Shanker, N. R., Priya, M., & Ganesh, E. (2022, May). A novel descriptive approach: local tetra patterns (LTrPs) for face recognition. In ICCCE 2021: Proceedings of the 4th International Conference on Communications and Cyber Physical Engineering (pp. 967–978). Singapore: Springer Nature Singapore.
- Li, Z., Song, J., Ma, Y., Yu, Y., He, X., Guo, Y., ... & Dong, H. (2023). Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables. Food Chemistry: X, 17, 100539.
- Ringle, C. M., Sarstedt, M., Sinkovics, N., & Sinkovics, R. R. (2023). A perspective on using partial least squares structural equation modelling in data articles. Data in Brief, 48, 109074.
- Valizadeh, G., & Babapour Mofrad, F. (2022). A comprehensive survey on two and three-dimensional Fourier shape descriptors: biomedical applications. Archives of Computational Methods in Engineering, 29(7), 4643–4681.
- Hajipour, S., Farbood, Y., Gharib-Naseri, M. K., Goudarzi, G., Rashno, M., Maleki, H., ... & Sarkaki, A. (2020). Exposure to ambient dusty particulate matter impairs spatial memory and hippocampal LTP by increasing brain inflammation and oxidative stress in rats. Life sciences, 242, 117210.
- Breiding, P., Sottile, F., & Woodcock, J. (2022). Euclidean distance degree and mixed volume. Foundations of Computational Mathematics, 22(6), 1743–1765.
- Ojala, J., Vanhanen, J., Harno, H., Lioumis, P., Vaalto, S., Kaunisto, M. A., ... & Kalso, E. (2022). A randomized, sham-controlled trial of repetitive transcranial magnetic stimulation targeting M1 and S2 in central poststroke pain: a pilot trial. Neuromodulation: Technology at the Neural Interface, 25(4), 538–548.
- Yang, F., Sun, Q., Jin, H., & Zhou, Z. (2020). Superpixel segmentation with fully convolutional networks. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 13964–13973).
- Li, Z., & Chen, J. (2015). Superpixel segmentation using linear spectral clustering. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 1356–1363).
- Penza, V., Ortiz, J., Mattos, L. S., Forgione, A., & De Momi, E. (2016). Dense soft tissue 3D reconstruction refined with super-pixel segmentation for robotic abdominal surgery. International journal of computer assisted radiology and surgery, 11, 197–206.
- Bharati, S., Ahmad, M. O., & Swamy, M. N. S. (2024, August). A Novel Super-pixel Grid Mixing-Based Augmentation with a Feature Fusion of Convolutional Networks for Breast Ultrasound Image Segmentation. In 2024 IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS) (pp. 970–974). IEEE.
- Zhao, Z., Li, J., Wen, J., He, Y., & Sun, Z. (2023). Effect of moxibustion on inflammatory cytokines for low back pain: a systematic review, meta-analysis and meta-regression. Therapeutics and Clinical Risk Management, 811–827.
- Dheepak, G., & Vaishali, D. (2024). Brain tumor classification: a novel approach integrating GLCM, LBP and composite features. Frontiers in Oncology, 13, 1248452.
- Oberoi, A., Bakshi, V., Sharma, R., & Singh, M. (2013). A framework for medical image retrieval using local tetra patterns. International Journal of Engineering and Technology, 5(1), 27–36.
- Qiu, Z., Gong, T., Liang, Z., Chen, T., Cong, R., Bai, H., & Zhao, Y. (2024). Perception-oriented UAV Image Dehazing Based on Super-Pixel Scene Prior. IEEE Transactions on Geoscience and Remote Sensing.
- Fu, Y., Wang, W., Zhu, L., Ye, X., & Yue, H. (2024). Weakly supervised semantic segmentation based on superpixel affinity. Journal of Visual Communication and Image Representation, 101, 104168.
- Ge, J., Zhang, Z., Phan, M. H., Zhang, B., Liu, A., & Zhao, Y. (2024). ESA: Annotation-Efficient Active Learning for Semantic Segmentation. arXiv preprint arXiv:2408.13491.
- Chang, M., Ji, L., & Zhu, J. (2024). Multi-scale LBP fusion with the contours from deep CellNNs for texture classification. Expert Systems with Applications, 238, 122100.
- James, G., Witten, D., Hastie, T., Tibshirani, R., & Taylor, J. (2023). Linear regression. In An introduction to statistical learning: With applications in python (pp. 69–134). Cham: Springer International Publishing.
- Seo, J., Kim, S., Jalalvand, A., Conlin, R., Rothstein, A., Abbate, J., ... & Kolemen, E. (2024). Avoiding fusion plasma tearing instability with deep reinforcement learning. Nature, 626(8000), 746–751.
- Basu, S., Singhal, S., & Singh, D. (2024). A systematic literature review on multimodal medical image fusion. Multimedia tools and applications, 83(6), 15845–15913.
- Rimner, A., Ruffini, E., Cilento, V., Goren, E., Ahmad, U., Appel, S., ... & Asamura, H. (2023). The International Association for the Study of Lung Cancer thymic epithelial tumors staging project: an overview of the central database informing revision of the forthcoming (ninth) edition of the TNM classification of malignant tumors. Journal of Thoracic Oncology.
- Keerthana, D., Venugopal, V., Nath, M. K., & Mishra, M. (2023). Hybrid convolutional neural networks with SVM classifier for classification of skin cancer. Biomedical Engineering Advances, 5, 100069.
- Narayan, V., Mall, P. K., Awasthi, S., Srivastava, S., & Gupta, A. (2023, January). FuzzyNet: Medical image classification based on GLCM texture feature. In 2023 International Conference on Artificial Intelligence and Smart Communication (AISC) (pp. 769–773). IEEE.
- Gao, H., Li, Z., Zhou, L., Li, X., & Wang, Q. (2024). GLRM: Geometric Layout-Based Resource Management Method on Multiple Field Programmable Gate Array Systems. Electronics, 13(10), 1821.
- Rastogi, D., Johri, P., Donelli, M., Kadry, S., Khan, A. A., Espa, G., ... & Kim, J. (2025). Deep learning-integrated MRI brain tumor analysis: feature extraction, segmentation, and Survival Prediction using Replicator and volumetric networks. Scientific Reports, 15(1), 1437.
- Mishra, A., Chaturvedi, R. P., Sharma, H., Kumar, P., Asthana, S., & Parashar, M. (2024, August). Brain Tumor Detection using Optimized Stochastic Gradient Descent Function. In 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT) (Vol. 1, pp. 1–6). IEEE.
- Mishra, A., Gupta, P., & Tewari, P. (2022). Global U-net with amalgamation of inception model and improved kernel variation for MRI brain image segmentation. Multimedia Tools and Applications, 81(16), 23339–23354.
- Akinci D'Antonoli, T., Berger, L. K., Indrakanti, A. K., Vishwanathan, N., Weiss, J., Jung, M., ... & Wasserthal, J. (2025). Totalsegmentator mri: Robust sequence-independent segmentation of multiple anatomic structures in mri. Radiology, 314(2), e241613.
- Yunzhi, P., Mingjun, Z., Yuqing, C., Lin, H., Weiqing, H., Wenjian, T., ... & Xudong, C. (2025). Spatial patterns of individual morphological deformation in schizophrenia: Putative cortical compensatory of unaffected sibling. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 138, 111329.
DOI: https://doi.org/10.2478/ijssis-2025-0054 | Journal eISSN: 1178-5608
Language: English
Submitted on: Jul 8, 2025
Published on: Oct 20, 2025
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
Related subjects:
© 2025 Ravi Prakash Chaturvedi, Annu Mishra, Mohd Dilshad Ansari, Ajay Shriram Kushwaha, Prakhar Mittal, Rajneesh Kumar Singh, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.