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machine learning

  • Open Access
    Clinical Applications of Artificial Intelligence in Uveal Melanoma
    WILLIAM F. CHADWICK, SANJAY GANESH, ALBERT K. DADZIE, BEHROUZ EBRAHIMI, MOJTABA RAHIMI, TAEYOON SON, REEM ALAHMADI, XINCHENG YAO and MICHAEL J. HEIFERMAN
    Anticancer Research November 2025, 45 (11) 4669-4681; DOI: https://doi.org/10.21873/anticanres.17817
  • You have access
    Development and External Validation of Machine Learning-based Models for Predicting Survival Outcomes in Endometrial Cancer: A Population-based Study
    MUNETOSHI AKAZAWA, KAZUNORI HASHIMOTO and HIROAKI NAGANO
    Anticancer Research August 2025, 45 (8) 3543-3551; DOI: https://doi.org/10.21873/anticanres.17715
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    Machine Learning Model to Guide Empirical Antimicrobial Therapy in Febrile Neutropenic Patients With Hematologic Malignancies
    KOSUKE HOASHI, KOUTAROU MATSUMOTO, JUNICHI KIYASU, TARO SAWABE, MAKOTO OYAMA, MARIKO TSUDA, AKIKO TAKAMATSU, ERIKO FUJIOKA, YUJI YUFU, MOTOAKI SHIRATSUCHI and KENTA MUROTANI
    Anticancer Research June 2025, 45 (6) 2629-2642; DOI: https://doi.org/10.21873/anticanres.17634
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    Machine-learning Algorithm-based Risk Prediction and Screening-detected Prostate Cancer in A Benign Prostate Hyperplasia Cohort
    CHIA-CHENG CHANG, JIUN-KAI CHIOU, CHENG-JIAN LIN, KEVIN LU, JIAN-RI LI, LI-WEN CHANG, SHENG-CHUN HUNG and CHEN-LI CHENG
    Anticancer Research April 2024, 44 (4) 1683-1693; DOI: https://doi.org/10.21873/anticanres.16967
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    Preliminary Results of Deep Learning Approach for Preoperative Diagnosis of Ovarian Cancer Based on Pelvic MRI Scans
    MUNETOSHI AKAZAWA and KAZUNORI HASHIMOTO
    Anticancer Research August 2023, 43 (8) 3817-3821; DOI: https://doi.org/10.21873/anticanres.16568
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    Chronological Change in EPHA2 Protein Expression Is Associated With Recurrence of Bladder Cancer
    MITSUYUKI KOIZUMI, SHINYA SATO, MITSUYO YOSHIHARA, YOSHIYASU NAKAMURA, HIDEYUKI TERAO, YOICHIRO OKUBO, KOTA WASHIMI, EMI YOSHIOKA, TOMOYUKI YOKOSE, TAKESHI KISHIDA, NAOHIKO KOSHIKAWA and YOHEI MIYAGI
    Anticancer Research December 2022, 42 (12) 5783-5794; DOI: https://doi.org/10.21873/anticanres.16085
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    Predicting Overall Survival Using Machine Learning Algorithms in Oral Cavity Squamous Cell Carcinoma
    JIA YAN TAN, JOHN ADEOYE, PETER THOMSON, DILEEP SHARMA, POORNIMA RAMAMURTHY and SIU-WAI CHOI
    Anticancer Research December 2022, 42 (12) 5859-5866; DOI: https://doi.org/10.21873/anticanres.16094
  • Open Access
    A Machine Learning Approach Using PET/CT-based Radiomics for Prediction of PD-L1 Expression in Non-small Cell Lung Cancer
    CHAE HONG LIM, YOUNG WHA KOH, SEUNG HYUP HYUN and SU JIN LEE
    Anticancer Research December 2022, 42 (12) 5875-5884; DOI: https://doi.org/10.21873/anticanres.16096
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    Prediction of Chemosensitivity in Multiple Primary Cancer Patients Using Machine Learning
    XIANGLAN ZHANG, MI JANG, ZHENLONG ZHENG, AIHUA GAO, ZHENHUA LIN and KI-YEOL KIM
    Anticancer Research May 2021, 41 (5) 2419-2429; DOI: https://doi.org/10.21873/anticanres.15017
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    Artificial Intelligence in Ovarian Cancer Diagnosis
    MUNETOSHI AKAZAWA and KAZUNORI HASHIMOTO
    Anticancer Research August 2020, 40 (8) 4795-4800; DOI: https://doi.org/10.21873/anticanres.14482

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