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Deep learning-based metaheuristic weighted k-nearest neighbor algorithm for the severity classification of breast cancer
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 …
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 …
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
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 …
requirement for an earlier and accurate diagnosis to lower the mortality rate. Computer …
Multi-class breast cancer classification using cnn features hybridization
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 …
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 …
challenge in employing ultrasound imaging for breast cancer diagnosis lies in the …
Deep learning-based breast cancer detection using VGG-NiN architecture
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 …
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 …
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
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 …
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 …
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 …
cancer. However, the early detection of abnormalities remains challenging, particularly for …