Cost-sensitive deep forest for price prediction
For many real-world applications, predicting a price range is more practical and desirable
than predicting a concrete value. In this case, price prediction can be regarded as a …
than predicting a concrete value. In this case, price prediction can be regarded as a …
[HTML][HTML] Supervised learning classifiers for electrical impedance-based bladder state detection
Urinary Incontinence affects over 200 million people worldwide, severely impacting the
quality of life of individuals. Bladder state detection technology has the potential to improve …
quality of life of individuals. Bladder state detection technology has the potential to improve …
Microwave breast cancer detection via cost-sensitive ensemble classifiers: Phantom and patient investigation
Microwave breast screening has been proposed as a complementary modality to the current
standard of X-ray mammography. In this work, we design three ensemble classification …
standard of X-ray mammography. In this work, we design three ensemble classification …
[PDF][PDF] Brain haemorrhage detection through SVM classification of electrical impedance tomography measurements
An important medical problem is the accurate and timely detection and diagnosis of the
presence of a brain haemorrhage in a patient. Brain haemorrhages can be present in …
presence of a brain haemorrhage in a patient. Brain haemorrhages can be present in …
[HTML][HTML] Diagnosing Breast Cancer with Microwave Technology: Remaining challenges and potential solutions with machine learning
Currently, breast cancer often requires invasive biopsies for diagnosis, motivating
researchers to design and develop non-invasive and automated diagnosis systems. Recent …
researchers to design and develop non-invasive and automated diagnosis systems. Recent …
Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model
Traditional machine learning methods may not yield satisfactory generalization capability
when samples in different classes are imbalanced. These methods tend to sacrifice the …
when samples in different classes are imbalanced. These methods tend to sacrifice the …
3D printed PLA/copper bowtie antenna for biomedical imaging applications
E Avşar Aydın, AR Torun - Physical and Engineering Sciences in Medicine, 2020 - Springer
This study aims to increase the performance of the microwave antenna by using 3D printed
conductive substrates, which is mainly used in biomedical imaging applications …
conductive substrates, which is mainly used in biomedical imaging applications …
Self-organizing and error driven (SOED) artificial neural network for smarter classifications
R Jafari-Marandi, M Khanzadeh… - Journal of …, 2017 - academic.oup.com
Classification tasks are an integral part of science, industry, business, and health care
systems; being such a pervasive technique, its smallest improvement is valuable. Artificial …
systems; being such a pervasive technique, its smallest improvement is valuable. Artificial …
Microwave breast tumor localization using wavelet feature extraction and genetic algorithm‐neural network
M Lu, X Xiao, G Liu, H Lu - Medical Physics, 2021 - Wiley Online Library
Abstract Purpose Ultra‐Wide Band (UWB) microwave breast cancer detection is a promising
new technology for routine physical examination and home monitoring. The existing …
new technology for routine physical examination and home monitoring. The existing …
Microwave breast cancer detection using time-frequency representations
H Song, Y Li, A Men - Medical & biological engineering & computing, 2018 - Springer
Microwave-based breast cancer detection has been proposed as a complementary
approach to compensate for some drawbacks of existing breast cancer detection …
approach to compensate for some drawbacks of existing breast cancer detection …