Deep learning-based metaheuristic weighted k-nearest neighbor algorithm for the severity classification of breast cancer

SRS Chakravarthy, N Bharanidharan, H Rajaguru - IRBM, 2023 - Elsevier
Objective The most widespread and intrusive cancer type among women is breast cancer.
Globally, this type of cancer causes more mortality among women, next to lung cancer. This …

A systematic review on machine learning algorithms used for forecasting lake‐water level fluctuations

SR Sannasi Chakravarthy… - Concurrency and …, 2022 - Wiley Online Library
Globally, the water‐level fluctuations in lakes are a dynamic and complex process. The
fluctuation is characterized by higher non‐linearity and stochasticity, making it quite hard to …

A systematic review on screening, examining and classification of breast cancer

SC SR, H Rajaguru - 2021 Smart Technologies …, 2021 - ieeexplore.ieee.org
Breast cancer is one of the major causes of women's death. This leads to an immediate
requirement for an earlier and accurate diagnosis to lower the mortality rate. Computer …

Multi-class breast cancer classification using cnn features hybridization

S Chakravarthy, N Bharanidharan, SB Khan… - International Journal of …, 2024 - Springer
Breast cancer has become the leading cause of cancer mortality among women worldwide.
The timely diagnosis of such cancer is always in demand among researchers. This research …

SKMAT‐U‐Net architecture for breast mass segmentation

SR Sannasi Chakravarthy… - International Journal of …, 2022 - Wiley Online Library
Being a deadly disease, breast cancer provides higher global mortality among women. The
challenge in employing ultrasound imaging for breast cancer diagnosis lies in the …

Deep learning-based breast cancer detection using VGG-NiN architecture

CSR Sannasi, H Rajaguru - AIP Conference Proceedings, 2023 - pubs.aip.org
Breast cancer is a steadily growing disease that provides elevated mortality than other
cancer types for global women. The survival rate of this cancer type can be uplifted through …

[HTML][HTML] Meteorological-Data-Driven Rubber Tree Powdery Mildew Model and Its Application on Spatiotemporal Patterns: A Case Study of Hainan Island

J Kong, Y An, X Shi, Z Sun, L Wu, W Cui - Sustainability, 2023 - mdpi.com
Given that rubber is an important strategic material and the prevalence of rubber tree
powdery mildew (RTPM) is a serious issue, the study of RTPM is becoming increasingly …

A comprehensive study on machine learning in breast cancer detection and classification

AB Nassif, A Al-Chikh Omar - … of the 6th International Conference on …, 2022 - dl.acm.org
Breast cancer is one of the diseases that led to a huge number of deaths in the recent
decades. One of the major issues that affect the recovery procedure is the early detection of …

BCUIS‐Net: A breast cancer ultrasound image segmentation network via boundary‐aware and shape feature fusion

H Li, X Wang, Y Tang, S Ye - International Journal of Imaging …, 2024 - Wiley Online Library
Breast cancer is a highly lethal disease with the highest mortality rate among women
worldwide. Breast tumor segmentation from ultrasound images plays a critical role in …

Breast cancer: Three‐class masses classification in mammograms using Apriori dynamic selection

KB Soulami, N Kaabouch… - … and Computation: Practice …, 2022 - Wiley Online Library
Mammography is a commonly used screening technique for early diagnosis of breast
cancer. However, the early detection of abnormalities remains challenging, particularly for …