S. Suganyadevi

According to our database, S. Suganyadevi authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

FACNN: fuzzy-based adaptive convolution neural network for classifying COVID-19 in noisy CXR images.

S. Suganyadevi, V. Seethalakshmi

Medical Biol. Eng. Comput., September, 2024

Medical Image Analysis Through Deep Learning Techniques: A Comprehensive Survey.

K. Balasamy, V. Seethalakshmi, S. Suganyadevi

Wirel. Pers. Commun., August, 2024

Deep Learning Based Alzheimer Disease Diagnosis: A Comprehensive Review.

S. Suganyadevi, A. Shiny Pershiya, K. Balasamy, V. Seethalakshmi, Saroj Bala, Kumud Arora

SN Comput. Sci., April, 2024

Deep recurrent learning based qualified sequence segment analytical model (QS2AM) for infectious disease detection using CT images.

S. Suganyadevi, V. Seethalakshmi

Evol. Syst., April, 2024

2023

Computer-aided cluster formation in wireless sensor networks using machine learning.

K. Thangaraj, M. Sakthivel, K. Balasamy, S. Suganyadevi

J. Intell. Fuzzy Syst., November, 2023

A secure framework for medical image by integrating watermarking and encryption through fuzzy based ROI selection.

D. Shamia, K. Balasamy, S. Suganyadevi

J. Intell. Fuzzy Syst., 2023

2022

CVD-HNet: Classifying Pneumonia and COVID-19 in Chest X-ray Images Using Deep Network.

S. Suganyadevi, V. Seethalakshmi

Wirel. Pers. Commun., 2022

A review on deep learning in medical image analysis.

S. Suganyadevi, V. Seethalakshmi, K. Balasamy

Int. J. Multim. Inf. Retr., 2022

2021

A fuzzy based ROI selection for encryption and watermarking in medical image using DWT and SVD.

K. Balasamy, S. Suganyadevi

Multim. Tools Appl., 2021