Jyoti R. Kini

According to our database, Jyoti R. Kini authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

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

2023

A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma.

Tojo Mathew, C. I. Johnpaul, B. Ajith, Jyoti R. Kini, Jeny Rajan

Eng. Appl. Artif. Intell., April, 2023

Novel edge detection method for nuclei segmentation of liver cancer histopathology images.

Santanu Roy, Devikalyan Das, Shyam Lal, Jyoti R. Kini

J. Ambient Intell. Humaniz. Comput., 2023

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

Deep learning-based automated mitosis detection in histopathology images for breast cancer grading.

Tojo Mathew, B. Ajith, Jyoti R. Kini, Jeny Rajan

Int. J. Imaging Syst. Technol., 2022

A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysis.

Tojo Mathew, S. Niyas, C. I. Johnpaul, Jyoti R. Kini, Jeny Rajan

Biomed. Signal Process. Control., 2022

Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis.

S. Niyas, Shraddha Priya, Reena Oswal, Tojo Mathew, Jyoti R. Kini, Jeny Rajan

Proceedings of the Computer Vision and Machine Intelligence, 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

NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images.

Shyam Lal, Devikalyan Das, Kumar Alabhya, Anirudh Kanfade, Aman Kumar, Jyoti R. Kini

Comput. Biol. Medicine, 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

LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images.

Anirudh Ashok Aatresh, Kumar Alabhya, Shyam Lal, Jyoti R. Kini, P. U. Prakash Saxena

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

2019

Novel Color Normalization Method for Hematoxylin & Eosin Stained Histopathology Images.

Santanu Roy, Shyam Lal, Jyoti R. Kini

IEEE Access, 2019