Amit Kumar Chanchal

According to our database, Amit Kumar Chanchal authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Classification and grade prediction of kidney cancer histological images using deep learning.

Amit Kumar Chanchal, Sravya N, Shyam Lal, Sandeep Kumar, P. U. Prakash Saxena

Multim. Tools Appl., September, 2024

FPGA implementation of deep learning architecture for kidney cancer detection from histopathological images.

Shyam Lal, Amit Kumar Chanchal, Jyoti R. Kini, Gopal Krishna Upadhyay

Multim. Tools Appl., June, 2024

Evolution of LiverNet 2.x: Architectures for automated liver cancer grade classification from H&E stained liver histopathological images.

Amit Kumar Chanchal, Shyam Lal, Dipanshu Barnwal, Prince Sinha, Shrikant Arvavasu, Jyoti R. Kini

Multim. Tools Appl., January, 2024

2022

Deep structured residual encoder-decoder network with a novel loss function for nuclei segmentation of kidney and breast histopathology images.

Amit Kumar Chanchal, Shyam Lal, Jyoti R. Kini

Multim. Tools Appl., 2022

2021

Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images.

Anirudh Ashok Aatresh, Rohit Prashant Yatgiri, Amit Kumar Chanchal, Aman Kumar, Akansh Ravi, Devikalyan Das, Raghavendra BS, Shyam Lal, Jyoti R. Kini

Comput. Medical Imaging Graph., 2021

Efficient and robust deep learning architecture for segmentation of kidney and breast histopathology images.

Amit Kumar Chanchal, Aman Kumar, Shyam Lal, Jyoti R. Kini

Comput. Electr. Eng., 2021

High-resolution deep transferred ASPPU-Net for nuclei segmentation of histopathology images.

Amit Kumar Chanchal, Shyam Lal, Jyoti R. Kini

Int. J. Comput. Assist. Radiol. Surg., 2021