Cheng Lu

A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images

2018

Automatic detection of lymphocytes could contribute to develop objective measures of the infiltration grade of tumors, which can be used by pathologists for improving the decision making and treatment planning processes. In this article, a …

Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation

2022 · arXiv (Cornell University)

Unsupervised Domain Adaptation (UDA), a branch of transfer learning where labels for target samples are unavailable, has been widely researched and developed in recent years with the help of adversarially trained models. Although existing UDA …

Evaluation Methods and Measures for Causal Learning Algorithms

2022 · arXiv (Cornell University)

The convenient access to copious multi-faceted data has encouraged machine learning researchers to reconsider correlation-based learning and embrace the opportunity of causality-based learning, i.e., causal machine learning (causal learning). Recent years have therefore witnessed great …

A deep learning framework to iDentify prOgnostically releVant cancEr Regions (DOVER) within whole slide histopathology images

2025 · Cancer Letters

The recent advancements in computational pathology focus on extracting valuable prognostic insights from whole-slide images (WSIs). These methods primarily involve deep learning-based or handcrafted feature representations of the disease's morphologic patterns associated with outcomes. However, …