Reviewing ensemble classification methods in breast cancer
Context Ensemble methods consist of combining more than one single technique to solve
the same task. This approach was designed to overcome the weaknesses of single …
the same task. This approach was designed to overcome the weaknesses of single …
Intelligent ultrasound imaging for enhanced breast cancer diagnosis: Ensemble transfer learning strategies
According to WHO statistics for 2018, there are 1.2 million cases and 700,000 deaths from
breast cancer (BC) each year, making it the second-highest cause of mortality for women …
breast cancer (BC) each year, making it the second-highest cause of mortality for women …
Study on detection of breast cancer using Machine Learning
S Kour, R Kumar, M Gupta - … in Advances in Power, Signal, and …, 2021 - ieeexplore.ieee.org
Breast cancer is one of the woman's most prominent cancer and most malignant of all
cancers. It is the world's largest autopsy of cancer deaths for females and happens in about …
cancers. It is the world's largest autopsy of cancer deaths for females and happens in about …
[PDF][PDF] Comparison of microarray breast cancer classification using support vector machine and logistic regression with LASSO and boruta feature selection
Breast cancer is the most frequent cancer diagnosis amongst women worldwide. Despite the
advancement of medical diagnostic and prognostic tools for early detection and treatment of …
advancement of medical diagnostic and prognostic tools for early detection and treatment of …
[PDF][PDF] Intelligent identification of liver diseases based on incremental hidden layer neurons ANN model
The liver is a crucial and big organ in the human body, impacts the digestion system. Due to
Liver diseases (LDs), so many deaths are occurred in worldwide that nearly 2 million deaths …
Liver diseases (LDs), so many deaths are occurred in worldwide that nearly 2 million deaths …
Subgrouping Factors Influencing Migraine Intensity in Women: A Semi‐automatic Methodology Based on Machine Learning and Information Geometry
Background Migraine is a heterogeneous condition with multiple clinical manifestations.
Machine learning algorithms permit the identification of population groups, providing …
Machine learning algorithms permit the identification of population groups, providing …
Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts
FJ Pérez-Benito, F Signol, JC Perez-Cortes… - Computer methods and …, 2019 - Elsevier
Background The breast dense tissue percentage on digital mammograms is one of the most
commonly used markers for breast cancer risk estimation. Geometric features of dense …
commonly used markers for breast cancer risk estimation. Geometric features of dense …
[PDF][PDF] Intellectual gestational diabetes diagnosis system using MLP-whale optimization algorithm including statistical analysis
TPR Vital - International Journal of Computing and Digital Systems, 2023 - researchgate.net
Diabetes is a widely recognized medical condition and is generally mentioned as a silent
killer in global healthcare. It is a metabolic and chronic disease that causes an increase in …
killer in global healthcare. It is a metabolic and chronic disease that causes an increase in …
[PDF][PDF] SMART HYBRID MODELS FOR IMPROVED BREAST CANCER DETECTION
NR Gali, PV Terlapu, Y Mandavakuriti… - Proceedings on …, 2024 - researchgate.net
Breast cancer (BC) ranks the second most prevalent cancer among women globally and is
the leading cause of female mortality. The conventional method for BC detection primarily …
the leading cause of female mortality. The conventional method for BC detection primarily …
Medical decision-making based on the exploration of a personalized medicine dataset
The emergence of personalized medicine and its exceptional advancements reveal new
needs regarding the availability of adequate medical decision-making models. Considering …
needs regarding the availability of adequate medical decision-making models. Considering …