# Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/discriminative-pattern-mining-for-breast-cancer-histopathology-image/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xingyu Li,Marko Radulović,Ksenija Kanjer,Konstantinos N. Plataniotis |
| Citations | 62 |
| DOI | 10.1109/access.2019.2904245 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/8600701/08664469.pdf |
| OpenAlex ID | https://openalex.org/W2916395217 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Xingyu Li](https://scholariq.org/researchers/xingyu-li/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## 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/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Image Retrieval and Classification Techniques](https://scholariq.org/topics/image-retrieval-and-classification-techniques/)

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