Jayant Jagtap

Orcid: 0000-0003-1650-3246

According to our database1, Jayant Jagtap authored at least 17 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Exploration of advancements in handwritten document recognition techniques.
Intell. Syst. Appl., 2024

An Overview of Hand-Drawn Diagram Recognition Methods and Applications.
IEEE Access, 2024

2023
Phenomics for Komatsuna plant growth tracking using deep learning approach.
Expert Syst. Appl., April, 2023

Automatic Segmentation of Pancreas and Pancreatic Tumor: A Review of a Decade of Research.
IEEE Access, 2023

2022
Radiogenomic analysis: 1p/19q codeletion based subtyping of low-grade glioma by analysing advanced biomedical texture descriptors.
J. King Saud Univ. Comput. Inf. Sci., 2022

IDH-Based Radiogenomic Characterization of Glioma Using Local Ternary Pattern Descriptor Integrated with Radiographic Features and Random Forest Classifier.
Int. J. Image Graph., 2022

2021
A comprehensive survey on the reduction of the semantic gap in content-based image retrieval.
Int. J. Appl. Pattern Recognit., 2021

MRI based genomic analysis of glioma using three pathway deep convolutional neural network for IDH classification.
Turkish J. Electr. Eng. Comput. Sci., 2021

Convolutional neural network based encoder-decoder architectures for semantic segmentation of plants.
Ecol. Informatics, 2021

Spatio-temporal deep neural networks for accession classification of Arabidopsis plants using image sequences.
Ecol. Informatics, 2021

Leaf Segmentation and Counting for Phenotyping of Rosette Plants Using Xception-style U-Net and Watershed Algorithm.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020
Local Binary and Ternary Patterns Based Quantitative Texture Analysis for Assessment of IDH Genotype in Gliomas on Multi-modal MRI.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019
Human age classification using appearance and facial skin ageing features with multi-class support vector machine.
Int. J. Biom., 2019

2017
Human age classification via face images: a survey.
Int. J. Appl. Pattern Recognit., 2017

Local binary patterns and wrinkle analysis in combination with multi-class support vector machine for human age classification.
Int. J. Appl. Pattern Recognit., 2017

2016
Human age classification using appearance features and artificial neural network.
Int. J. Biom., 2016

Human age classification using facial skin aging features and artificial neural network.
Cogn. Syst. Res., 2016


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