Intelligent Systems Reference Library - Advanced Machine Learning Approaches in Cancer Prognosis
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(FIVE YEARS 16)

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Published By Springer International Publishing

9783030719746, 9783030719753

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Study on Gene Alterations in Cervical Cancer Using Computational Genomics Tools

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

10.1007/978-3-030-71975-3_13 ◽

2021 ◽

pp. 341-373

Author(s):

B. Sai Lalitha ◽

M. Malini ◽

M. Venkateswara Rao ◽

E. Satya Mounika Sravani ◽

M. A. Mandira

Keyword(s):

Cervical Cancer ◽

Computational Genomics ◽

Genomics Tools ◽

Gene Alterations

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A Deep Learning Prediction Model for Detection of Cancerous Lesions from Dermatoscopic Images

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

10.1007/978-3-030-71975-3_15 ◽

2021 ◽

pp. 395-423

Author(s):

Ankita Pramanik ◽

Rivu Chakraborty

Keyword(s):

Deep Learning ◽

Prediction Model ◽

Cancerous Lesions

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Improved Thyroid Disease Prediction Model Using Data Mining Techniques with Outlier Detection

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

10.1007/978-3-030-71975-3_5 ◽

2021 ◽

pp. 129-161

Author(s):

Yasir Iqbal Mir

Keyword(s):

Data Mining ◽

Prediction Model ◽

Outlier Detection ◽

Thyroid Disease ◽

Disease Prediction ◽

Data Mining Techniques ◽

Using Data

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Data Analysis on Cancer Disease Using Machine Learning Techniques

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

10.1007/978-3-030-71975-3_2 ◽

2021 ◽

pp. 13-73

Author(s):

Soumen K. Pati ◽

Arijit Ghosh ◽

Ayan Banerjee ◽

Indrani Roy ◽

Preetam Ghosh ◽

...

Keyword(s):

Machine Learning ◽

Data Analysis ◽

Machine Learning Techniques ◽

Cancer Disease ◽

Learning Techniques

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Neural Network for Lung Cancer Diagnosis

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

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 ◽

Lung Cancer Diagnosis

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Automated Breast Cancer Diagnosis Based on Neural Network Algorithms

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

10.1007/978-3-030-71975-3_6 ◽

2021 ◽

pp. 163-191

Author(s):

Kamran Alam ◽

Lalita Sharma ◽

Namarta Chopra

Keyword(s):

Breast Cancer ◽

Neural Network ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis ◽

Network Algorithms

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Automatic Detection of Tumor Cell in Brain MRI Using Rough-Fuzzy Feature Selection with Support Vector Machine and Morphological Operation

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

10.1007/978-3-030-71975-3_8 ◽

2021 ◽

pp. 221-246

Author(s):

Amiya Halder ◽

Apurba Sarkar

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

Tumor Cell ◽

Brain Mri ◽

Automatic Detection ◽

Support Vector ◽

Morphological Operation ◽

Fuzzy Feature Selection

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Feature Extraction and Classification of Colon Cancer Using a Hybrid Approach of Supervised and Unsupervised Learning

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

10.1007/978-3-030-71975-3_7 ◽

2021 ◽

pp. 195-219

Author(s):

Joydev Ghosh ◽

Amitesh Kumar Sharma ◽

Sahil Tomar

Keyword(s):

Colon Cancer ◽

Feature Extraction ◽

Unsupervised Learning ◽

Hybrid Approach ◽

Supervised And Unsupervised Learning

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Deep MammoNet: Early Diagnosis of Breast Cancer Using Multi-layer Hierarchical Features of Deep Transfer Learned Convolutional Neural Network

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

10.1007/978-3-030-71975-3_12 ◽

2021 ◽

pp. 317-339

Author(s):

K. O Mohamed Aarif ◽

P. Sivakumar ◽

Caffiyar Mohamed Yousuff ◽

B. A. Mohammed Hashim

Keyword(s):

Breast Cancer ◽

Neural Network ◽

Early Diagnosis ◽

Convolutional Neural Network ◽

Hierarchical Features

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Advances in Machine Learning Approaches in Cancer Prognosis

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

10.1007/978-3-030-71975-3_1 ◽

2021 ◽

pp. 3-11

Author(s):

Margarita N. Favorskaya

Keyword(s):

Machine Learning ◽

Cancer Prognosis ◽

Learning Approaches

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Intelligent Systems Reference Library - Advanced Machine Learning Approaches in Cancer PrognosisLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Study on Gene Alterations in Cervical Cancer Using Computational Genomics Tools

A Deep Learning Prediction Model for Detection of Cancerous Lesions from Dermatoscopic Images

Improved Thyroid Disease Prediction Model Using Data Mining Techniques with Outlier Detection

Data Analysis on Cancer Disease Using Machine Learning Techniques

Neural Network for Lung Cancer Diagnosis

Automated Breast Cancer Diagnosis Based on Neural Network Algorithms

Automatic Detection of Tumor Cell in Brain MRI Using Rough-Fuzzy Feature Selection with Support Vector Machine and Morphological Operation

Feature Extraction and Classification of Colon Cancer Using a Hybrid Approach of Supervised and Unsupervised Learning

Deep MammoNet: Early Diagnosis of Breast Cancer Using Multi-layer Hierarchical Features of Deep Transfer Learned Convolutional Neural Network

Advances in Machine Learning Approaches in Cancer Prognosis

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