# Radiomics Features Based on MRI-ADC Maps of Patients with Breast Cancer: Relationship with Lesion Size, Features Stability, and Model Accuracy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/radiomics-features-based-on-mri-adc-maps-of-patients-with-breast-cancer/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Begümhan Baysal,Hakan Baysal,Mehmet Eser,Mahmut Bilal Doğan,Orhan Alımoğlu |
| Citations | 9 |
| DOI | 10.4274/mmj.galenos.2022.70094 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.4274/mmj.galenos.2022.70094 |
| OpenAlex ID | https://openalex.org/W4297404778 |
| PMID | 36128858 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Mahmut Bilal Doğan](https://scholariq.org/researchers/mahmut-bilal-dogan/)

## Paper journal

- [Medeniyet Medical Journal](https://scholariq.org/journals/medeniyet-medical-journal/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [MRI in cancer diagnosis](https://scholariq.org/topics/mri-in-cancer-diagnosis/)
- [Breast Cancer Treatment Studies](https://scholariq.org/topics/breast-cancer-treatment-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.