Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports

By Hong-Jun Yoon, A. Ramanathan, Georgia D. Tourassi. 2016

33 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Cao Xiao
2. Jimeng Sun
3. Edward Choi
4. Tengfei Ma
5. Junyuan Shang
6. Charu C. Aggarwal
7. Yuan Luo
8. Fei Wang

In Molecular Biology

1. Jimeng Sun
2. Edward Choi
3. Cao Xiao

Citations in the corpus

• Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review (2018, methodology): “In 21 and 22 , deep feedforward neural networks and convolutional neural networks were applied, respectively, to free-text pathology reports to automate the extraction of the primary cancer sites and their laterality.”