Jyoti R. Kini

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Top Venues

Multim. Tools Appl.

Int. J. Comput. Assist. Radiol. Surg.

Biomed. Signal Process. Control.

Publications

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) (2024)
Santanu Roy, Devikalyan Das, Shyam Lal, Jyoti R. Kini
Novel edge detection method for nuclei segmentation of liver cancer histopathology images. J. Ambient Intell. Humaniz. Comput. 14 (1) (2023)
Tojo Mathew, C. I. Johnpaul, B. Ajith, Jyoti R. Kini, Jeny Rajan
A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma. Eng. Appl. Artif. Intell. 120 (2023)
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) (2022)
Tojo Mathew, B. Ajith, Jyoti R. Kini, Jeny Rajan
Deep learning-based automated mitosis detection in histopathology images for breast cancer grading. Int. J. Imaging Syst. Technol. 32 (4) (2022)
S. Niyas, Shraddha Priya, Reena Oswal, Tojo Mathew, Jyoti R. Kini, Jeny Rajan
Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis. CVMI (2022)
Tojo Mathew, S. Niyas, C. I. Johnpaul, Jyoti R. Kini, Jeny Rajan
A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysis. Biomed. Signal Process. Control. 76 (2022)
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 (2021)
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) (2021)
Shyam Lal, Devikalyan Das, Kumar Alabhya, Anirudh Kanfade, Aman Kumar, Jyoti R. Kini
NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images. Comput. Biol. Medicine 128 (2021)
Anirudh Ashok Aatresh, Kumar Alabhya, Shyam Lal, Jyoti R. Kini, P. U. Prakash Saxena
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. 16 (9) (2021)
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 (2021)
Santanu Roy, Shyam Lal, Jyoti R. Kini
Novel Color Normalization Method for Hematoxylin & Eosin Stained Histopathology Images. IEEE Access 7 (2019)