Sreedhar Kollem

Orcid: 0000-0002-9203-0404

According to our database1, Sreedhar Kollem authored at least 11 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
An efficient method for MRI brain tumor tissue segmentation and classification using an optimized support vector machine.
Multim. Tools Appl., August, 2024

A fast computational technique based on a novel tangent sigmoid anisotropic diffusion function for image-denoising.
Soft Comput., June, 2024

A novel hybrid deep CNN model for breast cancer classification using Lipschitz-based image augmentation and recursive feature elimination.
Biomed. Signal Process. Control., 2024

2023
A novel diffusivity function-based image denoising for MRI medical images.
Multim. Tools Appl., September, 2023

AlexNet-NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz-based data augmentation.
Int. J. Imaging Syst. Technol., July, 2023

Brain tumor MRI image segmentation using an optimized multi-kernel FCM method with a pre-processing stage.
Multim. Tools Appl., 2023

2022
Image denoising for magnetic resonance imaging medical images using improved generalized cross-validation based on the diffusivity function.
Int. J. Imaging Syst. Technol., 2022

2021
Improved partial differential equation-based total variation approach to non-subsampled contourlet transform for medical image denoising.
Multim. Tools Appl., 2021

An optimized SVM based possibilistic fuzzy c-means clustering algorithm for tumor segmentation.
Multim. Tools Appl., 2021

2020
Modified transform-based gamma correction for MRI tumor image denoising and segmentation by optimized histon-based elephant herding algorithm.
Int. J. Imaging Syst. Technol., 2020

2019
Denoising and segmentation of MR images using fourth order non-linear adaptive PDE and new convergent clustering.
Int. J. Imaging Syst. Technol., 2019


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