Comparative analysis in execution of machine learning in breast cancer identification: a review

QR Code

Comparative analysis in execution of machine learning in breast cancer identification: a review

Carcinoma known as breast cancer is a significant common cancer among women worldwide. In line with the global trends, it accounts for many new cancer cases and cancer-related deaths, giving it a substantial public health issue in today's culture. Early diagnosis is the most effective method to...

Full description

Bibliographic Details
Main Authors:	Ravindran, Nadarajan, Noorazliza, Sulaiman
Format:	Conference or Workshop Item
Language:	English
Published:	IOP Publishing 2021
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/31703/ http://umpir.ump.edu.my/id/eprint/31703/1/Comparative%20analysis%20in%20execution%20of%20machine%20learning.pdf

Similar Items

Evaluation of K-fold value in breast cancer diagnosis technique using SVM and bio-inspired optimization algorithm (JA-ABC5)
by: Nadarajan, Ravindran, et al.
Published: (2023)

Optimisation of support vector machine hyperparameters using enhanced artificial bee colony variant to diagnose breast cancer
by: Ravindran, Nadarajan
Published: (2023)

Breast Cancer Segmentation Based on GVF Snake
by: Mahfuzah, Mustafa, et al.
Published: (2014)

Breast Cancer Diagnosis in Mammograms Using Multilevel Wavelet Analysis
by: Brahim Belhaouari, samir, et al.
Published: (2010)

Development Of Artificial Bee Colony (Abc) Variants And Memetic Optimization Algorithms
by: Sulaiman, Noorazliza
Published: (2017)

Performance verification on UWB antennas for breast cancer detection
by: V., Vijayasarveswari, et al.
Published: (2017)

Identification of machine parameters in induction motor drive
by: Chong, Jason Nao Chen
Published: (2010)

Distributed t-way test suite execution with code coverage on multiple machines
by: Zainal Hisham, Che Soh, et al.
Published: (2017)

Using curvelet transform to detect breast cancer in digital mammogram
by: I., Faye, et al.
Published: (2009)

Using curvelet transform to detect breast cancer in digital mammogram
by: Faye , I., et al.
Published: (2009)

A comparison of Wavelet and Curvelet for Breast Cancer Detection in Digital Mammogram
by: Brahim Belhaouari, samir, et al.

A comparison of Wavelet and Curvelet for Breast Cancer Detection in Digital Mammogram
by: Brahim Belhaouari, Samir, et al.
Published: (2010)

Breast cancer diagnosis in digital mammogram using multiscale curvelet transform
by: Eltoukhy , M.M., et al.
Published: (2010)

Compact reflectometers for a wideband microwave breast cancer detection system
by: Bialkowski, Marek, et al.
Published: (2006)

Review on bio-inspired algorithms approach to solve assembly line balancing problem
by: Noorazliza, Sulaiman, et al.
Published: (2019)

Breast Cancer Diagnosis Based on Texture Feature Extraction Using Curvelet Transform
by: Brahim Belhaouari, samir, et al.
Published: (2010)

Comparative performance of machine learning methods for classification on phishing attack detection
by: Siti Noranisah, Wan Ahmad, et al.
Published: (2020)

IoT-based Machine Learning Comparative Models of Stream Water Parameters Forecasting for Freshwater Lobster
by: Bakhit, Abdelmoneim Ahmed, et al.
Published: (2024)

Machine Learning: Application to the Scada System
by: Lee, Sheng Kai
Published: (2019)

Breast cancer prediction: A comparative study using machine learning techniques
by: Islam, Md. Milon, et al.
Published: (2020)

Ultra wide Band (UWB) Based Early Breast Cancer Detection using Artificial Intelligence
by: Bari, Bifta Sama, et al.
Published: (2019)

Wink based facial expression classification using machine learning approach
by: Rashid, Mamunur, et al.
Published: (2020)

Smart Security Camera Using Machine Learning
by: Foo, Jia Lim
Published: (2019)

Predicting the classification of heart failure patients using optimized machine learning algorithms
by: Ahmed, Marzia, et al.
Published: (2025)

Quantitative assessment on remote code execution vulnerability in web apps
by: Md. Maruf, Hassan, et al.
Published: (2019)

Fatigue State Detection Through Multiple Machine Learning Classifiers Using EEG Signal
by: Hasan, Md Mahmudul, et al.
Published: (2023)

Suitable MLP Network Activation Functions For Breast Cancer And Thyroid Disease Detection.
by: Isa,, I.S., et al.
Published: (2010)

A Survey Of Supervised Machine Learning In Wireless Sensor Network: A Power Management Perspective
by: Ul haq, Riaz, et al.
Published: (2013)

The classification of EEG signal processing using different machine learning techniques for BCI application
by: Rashid, Mamunur, et al.
Published: (2019)

A Statistical Based Feature Extraction Method for Breast Cancer Diagnosis in Digital Mammogram Using Multiresolution Representation
by: Brahim Belhaouari, samir, et al.
Published: (2010)

Performance comparison of early breast cancer detection precision using ai and ultra-wideband (UWB) bio-antennas
by: Bari, Bifta Sama, et al.
Published: (2020)

Reducing energy bill of data center via flexible partial execution
by: Shubin, Wang, et al.
Published: (2018)

Short-term forecasting of rooftop retrofitted photovoltaic power generation using machine learning
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Short-Term forecasting of floating photovoltaic power generation using machine learning models
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Comparison of support vector machine and friis equation for identification of pallet-level tagging using RFID signal
by: Ahmad Fakhri, Ab. Nasir, et al.
Published: (2020)

Finger vein identification based on transfer learning of AlexNet
by: Fairuz, Subha, et al.
Published: (2018)

A Survey on LoRaWAN Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions
by: Almuhaya, Mukarram A. M., et al.
Published: (2022)

Mathematical modeling of cancer growth process: A review
by: Tabassum, Shabana, et al.
Published: (2019)

Ensemble-based machine learning models for vehicle drivers’ fatigue state detection utilizing EEG signals
by: Hasan, Md Mahmudul, et al.
Published: (2024)

Machine-Learning Based QoE Prediction For Dash Video Streaming
by: Tan, Jun Yuan
Published: (2021)