Jyoti R. Kini

16 papers Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Efficient Parallel Branch Network for Multi-Class Classification of Prostate Cancer From Histopathological Images.
Int. J. Imaging Syst. Technol.
Vishal Srivastava, Akshaya Prabhu, Sravya Nedungatt, Vibha Damodara Kevala, Shyam Lal, Jyoti R. Kini
2025 J jnl
ProsGradNet: An effective and structured CNN approach for prostate cancer grading from histopathology images.
Biomed. Signal Process. Control.
Akshaya Prabhu, Sravya Nedungatt, Shyam Lal, Jyoti R. Kini
2024 J jnl
Evolution of LiverNet 2.x: Architectures for automated liver cancer grade classification from H&E stained liver histopathological images.
Multim. Tools Appl.
Amit Kumar Chanchal, Shyam Lal, Dipanshu Barnwal, Prince Sinha, Shrikant Arvavasu, Jyoti R. Kini
2024 J jnl
FPGA implementation of deep learning architecture for kidney cancer detection from histopathological images.
Multim. Tools Appl.
Shyam Lal, Amit Kumar Chanchal, Jyoti R. Kini, Gopal Krishna Upadhyay
2023 J jnl
A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma.
Eng. Appl. Artif. Intell.
Tojo Mathew, C. I. Johnpaul, B. Ajith, Jyoti R. Kini, Jeny Rajan
2023 J jnl
Novel edge detection method for nuclei segmentation of liver cancer histopathology images.
J. Ambient Intell. Humaniz. Comput.
Santanu Roy, Devikalyan Das, Shyam Lal, Jyoti R. Kini
2022 J jnl
A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysis.
Biomed. Signal Process. Control.
Tojo Mathew, S. Niyas, C. I. Johnpaul, Jyoti R. Kini, Jeny Rajan
2022 — conf
Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis.
CVMI
S. Niyas, Shraddha Priya, Reena Oswal, Tojo Mathew, Jyoti R. Kini, Jeny Rajan
2022 J jnl
Deep learning-based automated mitosis detection in histopathology images for breast cancer grading.
Int. J. Imaging Syst. Technol.
Tojo Mathew, B. Ajith, Jyoti R. Kini, Jeny Rajan
2022 J jnl
Deep structured residual encoder-decoder network with a novel loss function for nuclei segmentation of kidney and breast histopathology images.
Multim. Tools Appl.
Amit Kumar Chanchal, Shyam Lal, Jyoti R. Kini
2021 J jnl
Efficient and robust deep learning architecture for segmentation of kidney and breast histopathology images.
Comput. Electr. Eng.
Amit Kumar Chanchal, Aman Kumar, Shyam Lal, Jyoti R. Kini
2021 J jnl
Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images.
Comput. Medical Imaging Graph.
Anirudh Ashok Aatresh, Rohit Prashant Yatgiri, Amit Kumar Chanchal, Aman Kumar, Akansh Ravi, Devikalyan Das, Raghavendra BS, Shyam Lal, Jyoti R. Kini
2021 J jnl
High-resolution deep transferred ASPPU-Net for nuclei segmentation of histopathology images.
Int. J. Comput. Assist. Radiol. Surg.
Amit Kumar Chanchal, Shyam Lal, Jyoti R. Kini
2021 J jnl
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.
Int. J. Comput. Assist. Radiol. Surg.
Anirudh Ashok Aatresh, Kumar Alabhya, Shyam Lal, Jyoti R. Kini, P. U. Prakash Saxena
2021 J jnl
NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images.
Comput. Biol. Medicine
Shyam Lal, Devikalyan Das, Kumar Alabhya, Anirudh Kanfade, Aman Kumar, Jyoti R. Kini
2019 J jnl
Novel Color Normalization Method for Hematoxylin & Eosin Stained Histopathology Images.
IEEE Access
Santanu Roy, Shyam Lal, Jyoti R. Kini