Road Zhang

M.S.

Southwest Petroleum University

student

NLST (Learn more about this study)

NLST-887

Feb 16, 2022

Application for accessing NLST pathology images to validate the proposed prognostic modeling method

Our team is working on building models to predict the survival using pathology images. Using deep learning, a common method is to tile the image, followed by feature extraction neural network and aggregation network, finally outputting a risk score. The method is called Multiple Instance Learning which is categorized into weakly supervised learning. To tackle the problem of existing networks, such as weak neural networks used in MIL framework, our team intends to optimize the capability of networks to improve the prediction performance. As a result, the predictive models would be a personalized treatment recommendation tool which could be used in clinical routines. In short, NLST pathology image dataset is needed to validate our method performance. Related works would be written as papers to facilitate the development of this field. Thank you!