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ORCIDAmit Kumar Chanchal
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2020 – today
- 2024
[j7]Amit Kumar Chanchal
, Shyam Lal, Dipanshu Barnwal, Prince Sinha, Shrikant Arvavasu, Jyoti R. Kini:
Evolution of LiverNet 2.x: Architectures for automated liver cancer grade classification from H&E stained liver histopathological images. Multim. Tools Appl. 83(1): 2791-2821 (2024)- [j6]Shyam Lal, Amit Kumar Chanchal, Jyoti R. Kini, Gopal Krishna Upadhyay:
FPGA implementation of deep learning architecture for kidney cancer detection from histopathological images. Multim. Tools Appl. 83(21): 60583-60601 (2024) - [j5]Amit Kumar Chanchal, Sravya N, Shyam Lal, Sandeep Kumar, P. U. Prakash Saxena:
Classification and grade prediction of kidney cancer histological images using deep learning. Multim. Tools Appl. 83(32): 78247-78267 (2024) - 2022
- [j4]Amit Kumar Chanchal, Shyam Lal, Jyoti R. Kini:
Deep structured residual encoder-decoder network with a novel loss function for nuclei segmentation of kidney and breast histopathology images. Multim. Tools Appl. 81(7): 9201-9224 (2022) - 2021
- [j3]Amit Kumar Chanchal, Shyam Lal, Jyoti R. Kini:
High-resolution deep transferred ASPPU-Net for nuclei segmentation of histopathology images. Int. J. Comput. Assist. Radiol. Surg. 16(12): 2159-2175 (2021) - [j2]Amit Kumar Chanchal, Aman Kumar, Shyam Lal, Jyoti R. Kini:
Efficient and robust deep learning architecture for segmentation of kidney and breast histopathology images. Comput. Electr. Eng. 92: 107177 (2021) - [j1]Anirudh Ashok Aatresh, Rohit Prashant Yatgiri, Amit Kumar Chanchal, Aman Kumar, Akansh Ravi, Devikalyan Das, Raghavendra BS, Shyam Lal, Jyoti R. Kini:
Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images. Comput. Medical Imaging Graph. 93: 101975 (2021)
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