# Detection and Diagnosis of Breast Cancer Using Artificial Intelligence Based Assessment of Maximum Intensity Projection Dynamic Contrast-Enhanced Magnetic Resonance Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-and-diagnosis-of-breast-cancer-using-artificial-intelligence-based/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mio Adachi,Tomoyuki Fujioka,M. Mori,Kazunori Kubota,Yuka Kikuchi,Xiaotong Wu,Jun Oyama,Koichiro Kimura,Goshi Oda,Tsuyoshi Nakagawa,Hiroyuki Uetake,Ukihide Tateishi |
| Citations | 66 |
| DOI | 10.3390/diagnostics10050330 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2075-4418/10/5/330/pdf?version=1590573240 |
| OpenAlex ID | https://openalex.org/W3028357027 |
| PMID | 32443922 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Yuka Kikuchi](https://scholariq.org/researchers/yuka-kikuchi/)

## Paper journal

- [Diagnostics](https://scholariq.org/journals/diagnostics/)

## Paper primary topic

- [MRI in cancer diagnosis](https://scholariq.org/topics/mri-in-cancer-diagnosis/)

## Paper topics

- [MRI in cancer diagnosis](https://scholariq.org/topics/mri-in-cancer-diagnosis/)
- [Advanced MRI Techniques and Applications](https://scholariq.org/topics/advanced-mri-techniques-and-applications/)
- [Breast Lesions and Carcinomas](https://scholariq.org/topics/breast-lesions-and-carcinomas/)

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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.