# ImagingLab/ICIAR2018

<https://repo.masters-masters.com/en/repos/ImagingLab/ICIAR2018>

[Home](https://repo.masters-masters.com/en) › [ImagingLab](https://repo.masters-masters.com/en/owners/ImagingLab) › [ICIAR2018](https://repo.masters-masters.com/en/repos/ImagingLab/ICIAR2018)

ImagingLab/ICIAR2018 has 220 stars on GitHub. Its RepoMasters card: Prototype tier. Two-Stage Convolutional Neural Network for Breast Cancer Histology Image…

| Field | Value |
| --- | --- |
| Owner | [ImagingLab](https://repo.masters-masters.com/en/owners/ImagingLab) |
| Stars | 220 |
| Forks | 76 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | deep-learning, classification, medical-imaging, histology, pytorch, breast-cancer, image-classification |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ImagingLab/ICIAR2018](https://github.com/ImagingLab/ICIAR2018) |

## Repository

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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