S. S. Kumar

Orcid: 0000-0002-7988-2768

Affiliations:
  • University of Belgrade, General Physiology With Biophysics, Serbia
  • Noorul Islam College of Engineering, Kumaracoil, India (former)


According to our database1, S. S. Kumar authored at least 14 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of seven.
  • Erdős number3 of six.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
LCD-Capsule Network for the Detection and Classification of Lung Cancer on Computed Tomography Images.
Multim. Tools Appl., October, 2023

An ensemble method for the detection and classification of lung cancer using Computed Tomography images utilizing a capsule network with Visual Geometry Group.
Biomed. Signal Process. Control., August, 2023

2022
Recent advancement in cervical cancer diagnosis for automated screening: a detailed review.
J. Ambient Intell. Humaniz. Comput., 2022

Early cervical cancer diagnosis using Sooty tern-optimized CNN-LSTM classifier.
Int. J. Imaging Syst. Technol., 2022

2021
An optimized deep learning model using Mutation-based Atom Search Optimization algorithm for cervical cancer detection.
Soft Comput., 2021

Low power pulsed flip-flop with clock gating and conditional pulse enhancement.
Int. J. Autom. Control., 2021

Detection of Fetal Cardiac Anomaly from Composite Abdominal Electrocardiogram.
Biomed. Signal Process. Control., 2021

Transfer Learning With CNN for Classification of Weld Defect.
IEEE Access, 2021

2019
Brain tumor detection and segmentation using a wrapper based genetic algorithm for optimized feature set.
Clust. Comput., 2019

Segmentation of chondroblastoma from medical images using modified region growing algorithm.
Clust. Comput., 2019

Segmentation of lung from CT using various active contour models.
Biomed. Signal Process. Control., 2019

2014
Performance analysis of wave atom transform in texture classification.
Signal Image Video Process., 2014

2013
Automatic liver and lesion segmentation: a primary step in diagnosis of liver diseases.
Signal Image Video Process., 2013

An automatic computer-aided diagnosis system for liver tumours on computed tomography images.
Comput. Electr. Eng., 2013


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