Lily H. Peng
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Acute Ischemic Stroke Management, Colorectal Cancer Screening and Detection, Retinal Imaging and Analysis
Most-Cited Works
- → Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer(2019)484 cited
- → Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists(2018)384 cited
- → Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens(2020)221 cited
- → Determining breast cancer biomarker status and associated morphological features using deep learning(2021)145 cited
- → Deep learning models for histologic grading of breast cancer and association with disease prognosis(2022)71 cited
- → Pathologist Validation of a Machine Learning–Derived Feature for Colon Cancer Risk Stratification(2023)55 cited
- → Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer(2019)40 cited
- → Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning(2023)30 cited
- → Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study(2024)27 cited
- → Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders(2020)17 cited