Artificial intelligence applications in different imaging modalities for corneal topography

S Shanthi, L Aruljyothi, MB Balasundaram… - Survey of …, 2022 - Elsevier
Abstract Interpretation of topographical maps used to detect corneal ectasias requires a high
level of expertise. Several artificial intelligence (AI) technologies have attempted to interpret …

[PDF][PDF] Hybrid GLFIL Enhancement and Encoder Animal Migration Classification for Breast Cancer Detection.

S Prakash, MV Kumar, RS Ran, M Zivkovic… - … Systems Science & …, 2022 - researchgate.net
Breast cancer has become the second leading cause of death among women worldwide. In
India, a woman is diagnosed with breast cancer every four minutes. There has been no …

Fusion of local and global features for classification of abnormality in mammograms

AC Phadke, PP Rege - Sādhanā, 2016 - Springer
Mammography is the most widely used tool for the early detection of breast cancer.
Computer-based algorithms can be developed to improve diagnostic information in …

An approach for classification of malignant and benign microcalcification clusters

B Singh, M Kaur - Sādhanā, 2018 - Springer
The only reliable and successful treatment of breast cancer is its detection through
mammography at initial stage. Clusters of microcalcifications are important signs of breast …

Machine learning approach for detection of keratoconus

S Shanthi, K Nirmaladevi, M Pyingkodi… - IOP Conference …, 2021 - iopscience.iop.org
Keratoconus is a progressive eye disease and it should be detected in early stage, to avert
probable refractive surgery that could develop ecstasies. In this the authors proposes a new …

A genetic algorithm-based metaheuristic approach to customize a computer-aided classification system for enhanced screen film mammograms

H Kaur, J Virmani, S Thakur - U-Healthcare Monitoring Systems, 2019 - Elsevier
Breast cancer ranks second as the major cause of death due to cancer among women. The
disease's mortality rate has decreased over the last few years, and this is believed to be due …

A multi-syndrome pathology for breast cancer through intelligent learning

CN Vanitha, S Malathy - IOP Conference Series: Materials …, 2021 - iopscience.iop.org
The field of data analytics dealt with various methods to analyze the available data and help
us to drawn into a point of conclusion about that information. Machine will learn the behavior …

Product Recommendation System using Deep Learning based Recurrent Neural Network

S Shanthi, K Nirmaladevi, N Mathiarasi… - 2023 International …, 2023 - ieeexplore.ieee.org
Today's marketing strategies place a high priority on comprehending customer sentiments. It
will not only give businesses a better understanding of how their clients view their goods …

[PDF][PDF] Mammogram Enhancement Using Quadratic Adaptive Volterra Filter A Comparative Analysis In Spatial And Frequency Domain

G Jothilakshmi, E Gopinathan - ARPN J. Eng. Appl. Sci, 2006 - researchgate.net
Early breast cancer in women can be detected efficiently, by processing Mammograms in an
effective way. Mammographic images are affected by noise which has low contrast and poor …

Comparison of Optimizers for Lung Cancer Classification using Deep Convolution Neural Network

RB Dev, S Shanthi, V Brindha… - … and Internet of …, 2024 - ieeexplore.ieee.org
The process of identifying and categorizing lung cancer in its early stages is difficult, yet
doing so will improve patient survival rates. There is a wealth of research that segments and …