About
Contact & Profiles
A5027118501
Research Areas
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- COVID-19 diagnosis using AI
Google (United States)
2022
Background Developing deep learning models for radiology requires large data sets and substantial computational resources. Data set size limitations can be further exacerbated by distribution shifts, such as rapid changes in patient populations standard of care during the COVID-19 pandemic. A common partial mitigation is transfer pretraining a "generic network" on nonmedical then fine-tuning task-specific set. Purpose To reduce requirements chest radiography using an advanced machine...
10.1148/radiol.212482
article
EN
Radiology
2022-07-19
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