Asian Pacific Journal of Cancer Prevention

Keywords = machine learning

F-18 FDG PET/CT based Preoperative Machine Learning Prediction Models for Evaluating Regional Lymph Node Metastasis Status of Patients with Colon Cancer

Volume 26, Issue 1, January 2025, Pages 85-90

Su Jung Choi; Ji Sun Park; Hyung Joo Baik; Min Sung An; Ki Beom Bae; Sun Seong Lee

Analyzing Secondary Cancer Risk: A Machine Learning Approach

Volume 26, Issue 1, January 2025, Pages 239-248

Erfan Hatamabadi Farahani; Hossein Sadeghi; Fatemeh Seif; Mahdi Azad Marzabadi; Reza Rezaee

The G Protein-Coupled Receptor-Related Gene Signatures for Diagnosis and Prognosis in Glioblastoma: A Deep Learning Model Using RNA-Seq Data

Volume 25, Issue 12, December 2024, Pages 4201-4210

Ghazaleh Khalili-Tanha; Nima Khalili-Tanha; Masoumeh Farahani; Mostafa Rezaei-Tavirani; Elham Nazari

Development and Validation of Machine Learning Model Platelet Index-based Predictor for Colorectal Cancer Stage

Volume 25, Issue 12, December 2024, Pages 4425-4433

Citra Aryanti; Ronald Erasio Lusikooy; Samuel Sampetoding; Sachraswaty R. Laidding; Warsinggih Warsinggih; Erwin Syarifuddin; Julianus Aboyaman Uwuratuw; Muhammad Ihwan Kusuma; Ibrahim Labeda; Murny Abdul Rauf

Predicting HER2 Status Associated with Breast Cancer Aggressiveness Using Four Machine Learning Models

Volume 25, Issue 10, October 2024, Pages 3609-3618

Amel Boulmaiz; Hajira Berredjem; Khadidja Cheikchouk; Aicha Boulkrah; Hayet Aouras; Hanane Djedi

Discrimination between Precancerous Gastric Lesions and Gastritis Using a Gastric Cancer Risk Stratification Model

Volume 24, Issue 3, March 2023, Pages 935-943

John D Murphy; Meira Epplein; Feng-Chang Lin; Melissa A Troester; Hazel B Nichols; Julia Butt; Kaifeng Pan; Weicheng You; Andrew Olshan

Comparison of Classification Success Rates of Different Machine Learning Algorithms in the Diagnosis of Breast Cancer

Volume 23, Issue 10, October 2022, Pages 3287-3297

Irem Ozcan; Hakan Aydin; Ali Cetinkaya

Comparison of Fine-Tuned Deep Convolutional Neural Networks for the Automated Classification of Lung Cancer Cytology Images with Integration of Additional Classifiers

Volume 23, Issue 4, April 2022, Pages 1315-1324

Tetsuya Tsukamoto; Atsushi Teramoto; Ayumi Yamada; Yuka Kiriyama; Eiko Sakurai; Ayano Michiba; Kazuyoshi Imaizumi; Hiroshi Fujita

F-18 FDG PET/CT based Preoperative Machine Learning Prediction Models for Evaluating Regional Lymph Node Metastasis Status of Patients with Colon Cancer

Analyzing Secondary Cancer Risk: A Machine Learning Approach

The G Protein-Coupled Receptor-Related Gene Signatures for Diagnosis and Prognosis in Glioblastoma: A Deep Learning Model Using RNA-Seq Data

Development and Validation of Machine Learning Model Platelet Index-based Predictor for Colorectal Cancer Stage

Predicting HER2 Status Associated with Breast Cancer Aggressiveness Using Four Machine Learning Models

Discrimination between Precancerous Gastric Lesions and Gastritis Using a Gastric Cancer Risk Stratification Model

Comparison of Classification Success Rates of Different Machine Learning Algorithms in the Diagnosis of Breast Cancer

Comparison of Fine-Tuned Deep Convolutional Neural Networks for the Automated Classification of Lung Cancer Cytology Images with Integration of Additional Classifiers

Study the Effect of the Risk Factors in the Estimation of the Breast Cancer Risk Score Using Machine Learning

Robust Estimation of Breast Cancer Incidence Risk in Presence of Incomplete or Inaccurate Information

Diagnostic Accuracy of Different Machine Learning Algorithms for Breast Cancer Risk Calculation: a Meta-Analysis

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