Machine Learning based Gastric Cancer Computer-aided Diagnosis System using Feature Selection

Diagnosis System ◽

Computer Aided ◽

A Computer Aided Diagnosis System for Lung Cancer based on Statistical and Machine Learning Techniques

Journal of Computers ◽

10.4304/jcp.9.2.425-431 ◽

2014 ◽

Vol 9 (2) ◽

Cited By ~ 2

Author(s):

Hamada R. H. Al-Absi ◽

Brahim Belhaouari Samir ◽

Suziah Sulaiman

Keyword(s):

Machine Learning ◽

Lung Cancer ◽

Diagnosis System ◽

Learning Techniques ◽

Computer Aided ◽

Advances in Intelligent Systems and Computing - Soft Computing and Signal Processing ◽

Various Image Modalities Used in Computer-Aided Diagnosis System for Detection of Breast Cancer Using Machine Learning Techniques: A Systematic Review

10.1007/978-981-16-1249-7_27 ◽

2021 ◽

pp. 281-292

Author(s):

Gitanjali Wadhwa ◽

Amandeep Kaur

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Systematic Review ◽

Diagnosis System ◽

Learning Techniques ◽

Computer Aided ◽

Computer-aided Diagnosis System for Abnormalities Classification in Gastric Endoscopy Images using Machine Learning

The Transactions of The Korean Institute of Electrical Engineers ◽

10.5370/kiee.2020.69.1.107 ◽

2020 ◽

Vol 69 (1) ◽

pp. 107-113

Author(s):

Sin-ae Lee ◽

HyunChin Cho ◽

Hyun-chong Cho

Keyword(s):

Machine Learning ◽

Diagnosis System ◽

Computer Aided ◽

Gastric Endoscopy ◽

Computer aided diagnosis system based on machine learning techniques for lung cancer

2012 International Conference on Computer & Information Science (ICCIS) ◽

10.1109/iccisci.2012.6297257 ◽

2012 ◽

Cited By ~ 3

Author(s):

Hamada R. H. Al-Absi ◽

Brahim Belhaouari Samir ◽

Khaled Bashir Shaban ◽

Suziah Sulaiman

Keyword(s):

Machine Learning ◽

Lung Cancer ◽

Diagnosis System ◽

Learning Techniques ◽

Computer Aided ◽

Computer-Aided Diagnosis System for Early Prediction of Atherosclerosis using Machine Learning and K-fold cross-validation

2021 International Congress of Advanced Technology and Engineering (ICOTEN) ◽

10.1109/icoten52080.2021.9493524 ◽

2021 ◽

Author(s):

Bouchaib Cherradi ◽

Oumaima Terrada ◽

Asmae Ouhmida ◽

Soufiane Hamida ◽

Abdelhadi Raihani ◽

...

Keyword(s):

Machine Learning ◽

Cross Validation ◽

Early Prediction ◽

Diagnosis System ◽

Computer Aided ◽

Aided Diagnosis ◽

Fold Cross Validation

IET Chennai Fourth International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2013) ◽

A study on mammography computer aided diagnosis system using machine learning methods

10.1049/ic.2013.0334 ◽

2013 ◽

Cited By ~ 4

Author(s):

K. Dinakaran ◽

V. Sivakrithika

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Diagnosis System ◽

Machine Learning Methods ◽

Computer Aided ◽

Performance of a computer-aided diagnosis system in diagnosing early gastric cancer using magnifying endoscopy videos with narrow-band imaging (with videos)

Gastrointestinal Endoscopy ◽

10.1016/j.gie.2020.04.079 ◽

2020 ◽

Vol 92 (4) ◽

pp. 856-865.e1 ◽

Cited By ~ 6

Author(s):

Yusuke Horiuchi ◽

Toshiaki Hirasawa ◽

Naoki Ishizuka ◽

Yoshitaka Tokai ◽

Ken Namikawa ◽

...

Keyword(s):

Gastric Cancer ◽

Early Gastric Cancer ◽

Narrow Band ◽

Narrow Band Imaging ◽

Magnifying Endoscopy ◽

Diagnosis System ◽

Computer Aided ◽

Advances in Intelligent Systems and Computing - International Conference on Innovative Computing and Communications ◽

Computer-Aided Diagnosis System for Investigation and Detection of Epilepsy Using Machine Learning Techniques

10.1007/978-981-15-1286-5_21 ◽

2020 ◽

pp. 243-253

Author(s):

J. Naren ◽

A. B. Sarada Pyngas ◽

S. Subhiksha

Keyword(s):

Machine Learning ◽

Diagnosis System ◽

Learning Techniques ◽

Computer Aided ◽

A novel computer-aided diagnosis system for breast MRI based on feature selection and ensemble learning

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2017.03.002 ◽

2017 ◽

Vol 83 ◽

pp. 157-165 ◽

Cited By ~ 20

Author(s):

Wei Lu ◽

Zhe Li ◽

Jinghui Chu

Keyword(s):

Feature Selection ◽

Ensemble Learning ◽

Breast Mri ◽

Diagnosis System ◽

Computer Aided ◽

A Computer-aided diagnosis system for classifying prominent skin lesions using machine learning

2018 10th Computer Science and Electronic Engineering (CEEC) ◽

10.1109/ceec.2018.8674183 ◽

2018 ◽

Cited By ~ 5

Author(s):

Nazia Hameed ◽

Antesar Shabut ◽

M. A. Hossain

Keyword(s):

Machine Learning ◽

Skin Lesions ◽

Diagnosis System ◽

Computer Aided ◽