Back to search

Article

HAHNet: A convolutional neural network for HER2 status classification of breast cancer

2023-05-18

Abstract excerpt

<title>Abstract</title> <p><bold>Background</bold>: Breast cancer is a major health problem for women. Human epidermal growth factor receptor-2 (HER2) is a very important diagnostic and prognostic factor for breast cancer, and HER2 status classification is essential for the development of treatment plans for breast cancer. Generally speaking, pathologists will adopt immunohistochemistry (IHC) to assess HER2 statu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e4a24729-cb32-5e92-8ecc-deb07f610aad
DOI
10.21203/rs.3.rs-2841300/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
HAHNet: A convolutional neural network for HER2 status classification of breast cancerDOI 10.21203/rs.3.rs-2841300/v1
Select a neighboring publication to make it the new centre.