# Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/distinction-between-benign-and-malignant-breast-masses-at-breast-ultrasound/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tomoyuki Fujioka,Kazunori Kubota,M. Mori,Yuka Kikuchi,Leona Katsuta,Mai Kasahara,Goshi Oda,Toshiyuki Ishiba,Tsuyoshi Nakagawa,Ukihide Tateishi |
| Citations | 179 |
| DOI | 10.1007/s11604-019-00831-5 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2939142770 |
| PMID | 30888570 |
| Type | article |
| Year | 2019 |

## Paper authors

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

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Breast Lesions and Carcinomas](https://scholariq.org/topics/breast-lesions-and-carcinomas/)
- [Ultrasound Imaging and Elastography](https://scholariq.org/topics/ultrasound-imaging-and-elastography/)

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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.