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ORCIDGopakumar Chandrasekhara Menon
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2020 – today
- 2024
[j7]Chinnu Jacob
, Gopakumar Chandrasekhara Menon:
A Hybrid Attention-based Deep Model for Lung Cancer Subtype Classification from Multimodality Images. Int. J. Artif. Intell. Tools 33(1): 2350052:1-2350052:24 (2024)- [j6]Geetha Sushama, Gopakumar Chandrasekhara Menon:
Flexible Colon Polyp Detection: A Dual Mode Approach for Detection and Segmentation of Colon Polyps with Optional Inpainting for Specular Highlight Mitigation. SN Comput. Sci. 5(5): 641 (2024) - 2023
- [j5]Geetha Sushama, Gopakumar Chandrasekhara Menon:
Attention augmented residual autoencoder for efficient polyp segmentation. Int. J. Imaging Syst. Technol. 33(2): 701-713 (2023) - 2022
- [j4]Remya Remani Sathyan, Gopakumar Chandrasekhara Menon, Hariharan S, Rakhi Thampi, Jude Hemanth Duraisamy:
Traditional and deep-based techniques for end-to-end automated karyotyping: A review. Expert Syst. J. Knowl. Eng. 39(3) (2022) - [j3]Chinnu Jacob, Gopakumar Chandrasekhara Menon:
Pathological categorization of lung carcinoma from multimodality images using convolutional neural networks. Int. J. Imaging Syst. Technol. 32(5): 1681-1695 (2022) - [j2]Sabeena Karim Kutty, Gopakumar Chandrasekhara Menon:
Enhancing convolutional neural network model with spectral features for the identification of cervical dysplasia. Int. J. Imaging Syst. Technol. 32(6): 1916-1927 (2022) - [j1]Remya Remani Sathyan, Gopakumar Chandrasekhara Menon, Hari Prasad, Hariharan Sreedharan, D. Jude Hemanth:
Deep learning-based semantic segmentation of interphase cells and debris from metaphase images. Int. J. Imaging Syst. Technol. 32(6): 2017-2033 (2022)
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