Comparison of Hopfield Neural Network and mean shift algorithm in segmenting sputum color images for lung Cancer Diagnosis

Author(s):

Fatma Taher ◽

Naoufel Werghi ◽

Hussain Al-Ahmad

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Cancer Diagnosis ◽

Mean Shift ◽

Hopfield Neural Network ◽

Color Images ◽

Mean Shift Algorithm ◽

Segmentation of sputum color image for lung cancer diagnosis based on mean shift algorithm

2013 Africon ◽

10.1109/afrcon.2013.6757679 ◽

2013 ◽

Author(s):

Fatma Taher ◽

Naoufel Werghi ◽

Hussain Al-Ahmad

Keyword(s):

Lung Cancer ◽

Cancer Diagnosis ◽

Color Image ◽

Mean Shift ◽

Mean Shift Algorithm ◽

Unsupervised sputum color image segmentation for lung cancer diagnosis based on a Hopfield neural network

10.1117/12.274177 ◽

1997 ◽

Author(s):

Rachid Sammouda ◽

Noboru Niki ◽

Hiroshi Nishitani ◽

S. Nakamura ◽

Shinichiro Mori

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Image Segmentation ◽

Cancer Diagnosis ◽

Color Image ◽

Hopfield Neural Network ◽

Color Image Segmentation ◽

Artificial Neural Network and Fuzzy Clustering Methods in Segmenting Sputum Color Images for Lung Cancer Diagnosis

Lecture Notes in Computer Science - Image and Signal Processing ◽

10.1007/978-3-642-13681-8_60 ◽

2010 ◽

pp. 513-520 ◽

Author(s):

Fatma Taher ◽

Rachid Sammouda

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Artificial Neural Network ◽

Cancer Diagnosis ◽

Fuzzy Clustering ◽

Color Images ◽

Clustering Methods ◽

Lung Cancer Diagnosis ◽

Fuzzy Clustering Methods ◽

Artificial Neural

Intelligent Data Communication Technologies and Internet of Things - Lecture Notes on Data Engineering and Communications Technologies ◽

Deep Neural Network Based Classifier Model for Lung Cancer Diagnosis and Prediction System in Healthcare Informatics

10.1007/978-3-030-34080-3_56 ◽

2019 ◽

pp. 492-499 ◽

Author(s):

D. Jayaraj ◽

S. Sathiamoorthy

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Cancer Diagnosis ◽

Deep Neural Network ◽

Prediction System ◽

Healthcare Informatics ◽

ROI-based feature learning for efficient true positive prediction using convolutional neural network for lung cancer diagnosis

Neural Computing and Applications ◽

10.1007/s00521-020-04787-w ◽

2020 ◽

Vol 32 (20) ◽

pp. 15989-16009 ◽

Author(s):

Supriya Suresh ◽

Subaji Mohan

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Convolutional Neural Network ◽

Cancer Diagnosis ◽

Feature Learning ◽

True Positive ◽

Positive Prediction ◽

Lung Cancer Diagnosis ◽

True Positive Prediction

Deep 3D Convolutional Neural Network for Automated Lung Cancer Diagnosis

Lecture Notes in Networks and Systems - Computing and Network Sustainability ◽

10.1007/978-981-13-7150-9_16 ◽

2019 ◽

pp. 157-165

Author(s):

Sumita Mishra ◽

Naresh Kumar Chaudhary ◽

Pallavi Asthana ◽

Anil Kumar

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Convolutional Neural Network ◽

Cancer Diagnosis ◽

Lung Cancer Diagnosis Based on Chan-Vese Active Contour and Polynomial Neural Network

Procedia Computer Science ◽

10.1016/j.procs.2021.10.056 ◽

2021 ◽

Vol 194 ◽

pp. 22-31

Author(s):

Kamel Hussein Rahouma ◽

Shahenda Mahmoud Mabrouk ◽

Mohamed Aouf

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Cancer Diagnosis ◽

Active Contour ◽

Lung Cancer Diagnosis ◽

Polynomial Neural Network

Intelligent Systems Reference Library - Advanced Machine Learning Approaches in Cancer Prognosis ◽

Neural Network for Lung Cancer Diagnosis

10.1007/978-3-030-71975-3_4 ◽

2021 ◽

pp. 111-127

Author(s):

T. Maria Patricia Peeris ◽

P. Brundha ◽

C. Gopala Krishnan

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Cancer Diagnosis ◽

10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010) ◽

Morphology analysis of sputum color images for early lung cancer diagnosis

10.1109/isspa.2010.5605468 ◽

2010 ◽

Cited By ~ 7

Author(s):

Fatma Taher ◽

Rachid Sammouda

Keyword(s):

Lung Cancer ◽

Cancer Diagnosis ◽

Color Images ◽

Lung Cancer Diagnosis ◽

Early Lung Cancer ◽

Morphology Analysis

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

Classify and Explain: An Interpretable Convolutional Neural Network For Lung Cancer Diagnosis

10.1109/icassp40776.2020.9054605 ◽

2020 ◽

Author(s):

Yaowei Li ◽

Donghao Gu ◽

Zhaojing Wen ◽

Feng Jiang ◽

Shaohui Liu

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Convolutional Neural Network ◽

Cancer Diagnosis ◽