Combining the advantages of radiomic features based feature extraction and hyper parameters tuned RERNN using LOA for breast cancer classification
This paper proposes Combining the Advantages of Radiomic features based Feature
Extraction and Hyper Parameters tuned Recalling Enhanced Recurrent Neural Network …
Extraction and Hyper Parameters tuned Recalling Enhanced Recurrent Neural Network …
Selection of optimal thresholds in multi-level thresholding using multi-objective emperor penguin optimization for precise segmentation of mammogram images
S Subasree, NK Sakthivel… - Journal of Circuits …, 2022 - World Scientific
In medical image examination, image segmentation is the broadly used method. Currently,
the efficient segmentation of mammogram images is the main challenge. Many methods …
the efficient segmentation of mammogram images is the main challenge. Many methods …
Deep Learning based Improved Generative Adversarial Network for Addressing Class Imbalance Classification Problem in Breast Cancer Dataset
S Subasree, NK Sakthivel, M Shobana… - International Journal of …, 2023 - World Scientific
The breast cancer diagnosis is one of the challenging tasks of medical field. Especially, the
breast cancer diagnosis among younger women (under 40 years old) is more complicated …
breast cancer diagnosis among younger women (under 40 years old) is more complicated …
A Wrapper based feature extraction framework based on AlexNet deep convolutional neural network parameters optimized using gradient‐based optimizer for …
NK Sakthivel, S Subasree, S Malik… - Concurrency and …, 2022 - Wiley Online Library
In this manuscript, a Wrapper based feature extraction framework based on AlexNet deep
convolutional neural network (ADCNN) with gradient‐based optimizer (GBO) is proposed for …
convolutional neural network (ADCNN) with gradient‐based optimizer (GBO) is proposed for …
A Perspective Analysis of Regularization and Optimization Techniques in Machine Learning
AK Jain, PP Rao, KV Sharma - Computational Analysis and …, 2021 - Wiley Online Library
In the present days of big data analytics, the magnitude of data generated is escalating at an
exponential rate and requires high‐end machines with many‐core CPUs (GPUs) to handle …
exponential rate and requires high‐end machines with many‐core CPUs (GPUs) to handle …
[PDF][PDF] EMOPS: An enhanced multi-objective pswarm based classifier for poorly understood cancer patterns
S Subasree, NP Gopalan… - International Journal of …, 2018 - academia.edu
Abstract Microarray based Cancer Pattern Classification is one of the popular techniques in
Bioinformatics Research. This Research Work is noticed that for studying the expression …
Bioinformatics Research. This Research Work is noticed that for studying the expression …
Deep Learning‐Based Prediction Techniques for Medical Care: Opportunities and Challenges
S Subasree, NK Sakthivel - Computational Analysis and Deep …, 2021 - Wiley Online Library
In this chapter, we will discuss various opportunities and challenges and suggest a few
intelligent architectures for better Diseases Pattern Predictions including Cancer Pattern …
intelligent architectures for better Diseases Pattern Predictions including Cancer Pattern …
[引用][C] Smart multi-objective particle swarm optimizer for cancer patterns classification and prediction
S Subasree, NP Gopalan, NK Sakthivel - Int. J. Eng. Res. Technol, 2018