Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
PV de Campos Souza - Applied soft computing, 2020 - Elsevier
This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
Breast cancer detection in the IoT cloud-based healthcare environment using fuzzy cluster segmentation and SVM classifier
Early-stage detection of breast cancer disease and its accurate diagnosis have been always
challenging for the healthcare professional. An IoT healthcare system can play a vital role in …
challenging for the healthcare professional. An IoT healthcare system can play a vital role in …
Simultaneous feature weighting and parameter determination of neural networks using ant lion optimization for the classification of breast cancer
In this paper, feature weighting is used to develop an effective computer-aided diagnosis
system for breast cancer. Feature weighting is employed because it boosts the classification …
system for breast cancer. Feature weighting is employed because it boosts the classification …
Optimization of artificial neural network structure and hyperparameters in hybrid model by genetic algorithm: iOS–android application for breast cancer diagnosis …
MA Bülbül - The Journal of Supercomputing, 2024 - Springer
Breast cancer is a common disease that can result in death among women. Cancer research
is important because early detection of cancer facilitates clinical practice for patients. The …
is important because early detection of cancer facilitates clinical practice for patients. The …
A five-year (2015 to 2019) analysis of studies focused on breast cancer prediction using machine learning: A systematic review and bibliometric analysis
Z Salod, Y Singh - Journal of Public Health Research, 2020 - journals.sagepub.com
The objective 1 of this study was to investigate trends in breast cancer (BC) prediction using
machine learning (ML) publications by analysing country, first author, journal, institutional …
machine learning (ML) publications by analysing country, first author, journal, institutional …
Machine learning based computer aided diagnosis of breast cancer utilizing anthropometric and clinical features
Breast cancer is one of the most prevalent types of cancers in females, which has become
rampant all over the world in recent years. The survival rate of breast cancer patients …
rampant all over the world in recent years. The survival rate of breast cancer patients …
Artificial intelligence analysis of gene expression predicted the overall survival of mantle cell lymphoma and a large pan-cancer series
J Carreras, N Nakamura, R Hamoudi - Healthcare, 2022 - mdpi.com
Mantle cell lymphoma (MCL) is a subtype of mature B-cell non-Hodgkin lymphoma
characterized by a poor prognosis. First, we analyzed a series of 123 cases (GSE93291). An …
characterized by a poor prognosis. First, we analyzed a series of 123 cases (GSE93291). An …
Deep neural networks and machine learning radiomics modelling for prediction of relapse in mantle cell lymphoma
CS Lisson, CG Lisson, MF Mezger, D Wolf, SA Schmidt… - Cancers, 2022 - mdpi.com
Simple Summary Mantle cell lymphoma (MCL) is an aggressive lymphoid tumour with a
poor prognosis. There exist no routine biomarkers for the early prediction of relapse. Our …
poor prognosis. There exist no routine biomarkers for the early prediction of relapse. Our …
An advanced interpretable fuzzy neural network model based on uni-nullneuron constructed from n-uninorms
PV de Campos Souza, E Lughofer - Fuzzy Sets and Systems, 2022 - Elsevier
This paper formulates a fuzzy logic neuron that uses n-uninorms to construct uni-
nullneurons. A fuzzy neural network (FNN) composed of these neurons is easy to operate …
nullneurons. A fuzzy neural network (FNN) composed of these neurons is easy to operate …
Breast cancer detection based on feature selection using enhanced grey wolf optimizer and support vector machine algorithms
S Kumar, M Singh - Vietnam Journal of Computer Science, 2021 - World Scientific
Breast cancer is the leading cause of high fatality among women population. Identification of
the benign and malignant tumor at correct time plays a critical role in the diagnosis of breast …
the benign and malignant tumor at correct time plays a critical role in the diagnosis of breast …