Výsledky vyhledávání - "Govardhan Hegde"

A Systematic Approach of Data Collection and Analysis in Medical Imaging Research

Autor: Chitra Manuel, Manuel K, Anjali Kulkarni, Govardhan Hegde, Manjunath K N, Rajendra Kurady

Publikováno v: Asian Pacific Journal of Cancer Prevention : APJCP

Obtaining the right image dataset for the medical image research systematically is a tedious task. Anatomy segmentation is the key step before extracting the radiomic features from these images. Objective: The purpose of the study was to segment the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ba19d94871ef1406aa51182659b3005
http://europepmc.org/articles/PMC8190353

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Intelligent System to Evaluate the Quality of Orange, Lemon, Sweet Lime and Tomato Using Back-Propagation Neural-Network (BPNN) and Probabilistic Neural Network (PNN)

Autor: V. G. Narendra, K. Govardhan Hegde

Publikováno v: Communications in Computer and Information Science ISBN: 9789811501074

The quality assessment and sorting millions of fruits as well as vegetables by manual is usually slower. But also costly and cannot give an accurate result. In this research, to increase the quality of food above products were developed by using a vi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::507c4614444cc8ec9cf28d36aa1d4b5b
https://doi.org/10.1007/978-981-15-0108-1_34

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Intelligent System to Classify Peanuts Varieties Using K-Nearest Neighbors (K-NN) and Support Vector Machine (SVM)

Autor: V. G. Narendra, K. Govardhan Hegde

Publikováno v: Communications in Computer and Information Science ISBN: 9789811501074

In the world, India is the second biggest producer of peanuts or groundnuts, and it is also our country’s major oilseed crop. In India, the existing peanuts crop varieties are GAUG-1, Kuber, Amber, PG-1, BG-1, T-64, GAUG-10, BG-2, Chandra, Kadri-2,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dd19d7f5b031034515dace251c045b94
https://doi.org/10.1007/978-981-15-0108-1_33

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Feature Extraction for Early Detection of Macular Hole and Glaucoma in Fundus Images

Autor: B. Govardhan Hegde, Bhargav J. Bhatkalkar, D. Sulatha Bhandary, C. Srikanth Prabhu

Publikováno v: Journal of Medical Imaging and Health Informatics. 6:1536-1540

Retinal fundus image acquired with digital fundus cameras is adaptable tools for the diagnosis of common retinal diseases. Digital Image Processing is extensively used in present biomedical applications for feature detection and classification of dis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aaeca66eabfc9a21b3178e116baa8fce
https://doi.org/10.1166/jmihi.2016.1844

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Partition and Hierarchical Based Clustering Techniques for Analysis of Neonatal Data

Autor: Leslie Lewis, Govardhan Hegde, M. Shivakumar, Dinesh U Acharya, Rudresh D Shirwaikar, Nikhit Mago

Publikováno v: Proceedings of International Conference on Cognition and Recognition ISBN: 9789811051456

With the increase of data in the medical domain over the years, it is extremely crucial that we analyze useful information and recognize patterns that can be used by the clinicians for better diagnosis of diseases. Clustering is a Machine Learning te

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a944252712b6cc9b17c1140576385709
https://doi.org/10.1007/978-981-10-5146-3_32

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