Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters …

NK Sakthivel, S Subasree… - Concurrency and …, 2022 - Wiley Online Library
In recent years, a number of learning methods have been adopted for classifying the
mammogram images, which helps the early detection and diagnosis of breast cancer. The …

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 …

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 …

[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