Jyoti R. Kini

Orcid: 0000-0002-3351-9517

According to our database1, Jyoti R. Kini authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
FPGA implementation of deep learning architecture for kidney cancer detection from histopathological images.
Multim. Tools Appl., June, 2024

Evolution of LiverNet 2.x: Architectures for automated liver cancer grade classification from H&E stained liver histopathological images.
Multim. Tools Appl., January, 2024

2023
A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma.
Eng. Appl. Artif. Intell., April, 2023

Novel edge detection method for nuclei segmentation of liver cancer histopathology images.
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.
Multim. Tools Appl., 2022

Deep learning-based automated mitosis detection in histopathology images for breast cancer grading.
Int. J. Imaging Syst. Technol., 2022

A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysis.
Biomed. Signal Process. Control., 2022

Automated Molecular Subtyping of Breast Cancer Through Immunohistochemistry Image Analysis.
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.
Comput. Medical Imaging Graph., 2021

Efficient and robust deep learning architecture for segmentation of kidney and breast histopathology images.
Comput. Electr. Eng., 2021

NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images.
Comput. Biol. Medicine, 2021

High-resolution deep transferred ASPPU-Net for nuclei segmentation of histopathology images.
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.
Int. J. Comput. Assist. Radiol. Surg., 2021

2019
Novel Color Normalization Method for Hematoxylin & Eosin Stained Histopathology Images.
IEEE Access, 2019


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