35 citations · 80 across the 7 of their papers we have counts for
5 papers · 1 filter
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline
Beibin Li, Ezgi Mercan, Sachin Mehta +5
In this study, we propose the Ductal Instance-Oriented Pipeline (DIOP) that contains a duct-level instance segmentation model, a tissue-level semantic segmentation model, and three…
Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time
Haoyue Zhang, Jennifer S Polson, Kambiz Nael +6
Treatment of acute ischemic strokes (AIS) is largely contingent upon the time since stroke onset (TSS). However, TSS may not be readily available in up to 25% of patients with unwi…
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning
Jiayun Li, Wenyuan Li, Anthony Sisk +4
Histopathological images provide rich information for disease diagnosis. Large numbers of histopathological images have been digitized into high resolution whole slide images, open…
Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data to Predict Depression
Yiwen Meng, William Speier, Michael K. Ong +1
Advancements in machine learning algorithms have had a beneficial impact on representation learning, classification, and prediction models built using electronic health record (EHR…
Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment
Chao Chen, Zhihong Chen, Xinyu Jin +3
Bone age assessment (BAA) is clinically important as it can be used to diagnose endocrine and metabolic disorders during child development. Existing deep learning based methods for…