Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with ¹⁸F-FDG PET/CT

• Gülcan Bulut ,

  Contributed equally to this work with: Gülcan Bulut, Hasan Ikbal Atilgan, Gökalp Çınarer, Kazım Kılıç, Deniz Yıkar, Tuba Parlar

  Roles Writing – review & editing

  * E-mail: gulcanbulut07@gmail.com

  Affiliation Division of Medical Oncology, International Medicana Hospital, Izmir, Turkey

  https://orcid.org/0000-0001-7382-0972

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• Hasan Ikbal Atilgan ,

  Contributed equally to this work with: Gülcan Bulut, Hasan Ikbal Atilgan, Gökalp Çınarer, Kazım Kılıç, Deniz Yıkar, Tuba Parlar

  Roles Data curation

  Affiliation Department of Nuclear Medicine, Mustafa Kemal University Medical School, Hatay, Turkey

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• Gökalp Çınarer ,

  Contributed equally to this work with: Gülcan Bulut, Hasan Ikbal Atilgan, Gökalp Çınarer, Kazım Kılıç, Deniz Yıkar, Tuba Parlar

  Roles Formal analysis

  Affiliation Department of Computer Engineering, Faculty of Engineering and Architecture, Bozok University, Yozgat, Turkey

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• Kazım Kılıç ,

  Contributed equally to this work with: Gülcan Bulut, Hasan Ikbal Atilgan, Gökalp Çınarer, Kazım Kılıç, Deniz Yıkar, Tuba Parlar

  Roles Investigation

  Affiliation Department of Computer Programming, Yozgat Vocational High School, Bozok University, Yozgat, Turkey

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• Deniz Yıkar ,

  Contributed equally to this work with: Gülcan Bulut, Hasan Ikbal Atilgan, Gökalp Çınarer, Kazım Kılıç, Deniz Yıkar, Tuba Parlar

  Roles Data curation

  Affiliation Division of Nuclear Medicine, Hatay Training and Research Hospital, Hatay, Turkey

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• Tuba Parlar

  Contributed equally to this work with: Gülcan Bulut, Hasan Ikbal Atilgan, Gökalp Çınarer, Kazım Kılıç, Deniz Yıkar, Tuba Parlar

  Roles Validation, Writing – original draft

  Affiliation Department of Computer Technologies, Mustafa Kemal University, Hatay, Türkiye

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