| _version_ | 1866901465084198912 |
|---|---|
| author | Akgün, Kadir Burak Çınarer, Gökalp Kılıç, Kazım Parlar, Tuba Atılgan, Hasan İkbal |
| author_facet | Akgün, Kadir Burak Çınarer, Gökalp Kılıç, Kazım Parlar, Tuba Atılgan, Hasan İkbal |
| contents | <p><span>This repository contains the official implementation and supporting data for the study titled <em>"A New Hybrid Deep Learning Approach for Non-Invasive Histopathological Subtyping of Lung Cancer on 18F-FDG PET/CT"</em></span><span><sup class="superscript"></sup></span><span>.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20030275 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A New Hybrid Deep Learning Approach for Non-Invasive Histopathological Subtyping of Lung Cancer on 18F-FDG PET/CT Akgün, Kadir Burak Çınarer, Gökalp Kılıç, Kazım Parlar, Tuba Atılgan, Hasan İkbal <p><span>This repository contains the official implementation and supporting data for the study titled <em>"A New Hybrid Deep Learning Approach for Non-Invasive Histopathological Subtyping of Lung Cancer on 18F-FDG PET/CT"</em></span><span><sup class="superscript"></sup></span><span>.</span></p> |
| title | A New Hybrid Deep Learning Approach for Non-Invasive Histopathological Subtyping of Lung Cancer on 18F-FDG PET/CT |
| url | https://doi.org/10.5281/zenodo.20030275 |