Artificial intelligence for automating the measurement of histologic image biomarkers

Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma

(2021) Can F. Koyuncu et al.   JOURNAL OF CLINICAL INVESTIGATION

The Application of Deep Learning in Cancer Prognosis Prediction

(2020) Wan Zhu et al.   Cancers

Clinical Application of Image Analysis in Pathology

(2020) Toby C. Cornish   ADVANCES IN ANATOMIC PATHOLOGY

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

(2020) Alex Zwanenburg et al.   RADIOLOGY

Synthesis of diagnostic quality cancer pathology images by generative adversarial networks

(2020) Adrian B. Levine et al.   JOURNAL OF PATHOLOGY

Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization

(2020) Bin Li et al.   MEDICAL IMAGE ANALYSIS

Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images

(2020) Fuyong Xing et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Causability and explainabilty of artificial intelligence in medicine

(2019) Andreas Holzinger et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Tumor Cell Anaplasia and Multinucleation Are Predictors of Disease Recurrence in Oropharyngeal Squamous Cell Carcinoma, Including Among Just the Human Papillomavirus-Related Cancers

(2012) James S. Lewis et al.   AMERICAN JOURNAL OF SURGICAL PATHOLOGY