Classification techniques in breast cancer diagnosis: a systematic literature review
Data mining (DM) consists in analysing a set of observations to find unsuspected
relationships and then summarising the data in new ways that are both understandable and …
relationships and then summarising the data in new ways that are both understandable and …
Retracted article: machine learning method based detection and diagnosis for epilepsy in EEG signal
S Deivasigamani, C Senthilpari, WH Yong - Journal of Ambient …, 2021 - Springer
The epileptic seizure can be detected using electroencephalogram (EEG) signals. The
detection of epileptogenic region in brain is important for the detection of epilepsy disease …
detection of epileptogenic region in brain is important for the detection of epilepsy disease …
Retracted Article: Early diagnose breast cancer with PCA-LDA based FER and neuro-fuzzy classification system
R Preetha, SV Jinny - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
In recent years, breast cancer is recognized as critical disease that needs to be detected at
early stage. Breast cancer can be detected either by mammography or biopsy technique …
early stage. Breast cancer can be detected either by mammography or biopsy technique …
Breast cancer diagnosis using an enhanced Extreme Learning Machine based-Neural Network
Breast cancer has become one of the most deadly cancer among women all over the word.
Fortunately, an early diagnosis of this type of cancer can considerably enhances the …
Fortunately, an early diagnosis of this type of cancer can considerably enhances the …
Brain tumor classification using efficient deep features of MRI scans and support vector machine
AN Khan, H Nazarian, NA Golilarz… - … on wavelet active …, 2020 - ieeexplore.ieee.org
Brain cancer is a life-threatening disease and hampers the normal operation of the human
body. For correct diagnosis and methodical treatment planning, it is essential to detect the …
body. For correct diagnosis and methodical treatment planning, it is essential to detect the …
An intelligent method for online voltage stability margin assessment using optimized ANFIS and associated rules technique
A Ghaghishpour, A Koochaki - ISA transactions, 2020 - Elsevier
This paper puts forward an intelligent method for online voltage stability margin (VSM)
assessment based on optimal fuzzy system and feature selection technique, which has …
assessment based on optimal fuzzy system and feature selection technique, which has …
Binary particle swarm optimization based feature selection (bpso-fs) for improving breast cancer prediction
Breast cancer is currently one of the leading causes of cancer-related deaths among women
around the world. Although the severity of the disease is undeniable, an efficient early …
around the world. Although the severity of the disease is undeniable, an efficient early …
Development and use of a clinical decision support system for the diagnosis of social anxiety disorder
Background Mental disorders, according to the definition of World Health Organization,
consist of a wide range of signs, which are generally specified by a combination of unusual …
consist of a wide range of signs, which are generally specified by a combination of unusual …
Dynamic contrast enhanced‐magnetic resonance imaging radiomics combined with a hybrid adaptive neuro‐fuzzy inference system‐particle swarm optimization …
AG Tzalavra, I Andreadis, KV Dalakleidi… - Expert …, 2022 - Wiley Online Library
The authors propose a method for breast dynamic contrast enhanced‐magnetic resonance
imaging classification by combining radiomic texture analysis with a hybrid adaptive neuro …
imaging classification by combining radiomic texture analysis with a hybrid adaptive neuro …
An improved strategy for predicting diagnosis, survivability, and recurrence of breast cancer
SL Marie-Sainte, T Saba, D Alsaleh… - Journal of …, 2019 - ingentaconnect.com
Breast Cancer is a common disease among females. Early detection of the Breast Cancer
aids in an easier efficient treatment. The application of Machine Learning algorithms can …
aids in an easier efficient treatment. The application of Machine Learning algorithms can …