Lymph Node Metastasis Prediction From Whole Slide Images With Transformer-Guided Multiinstance Learning and Knowledge Transfer

Clinical implications of TPO and AOX1 in pediatric papillary thyroid carcinoma

(2021) Yongbo Yu et al.   Translational Pediatrics

Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks

(2020) Jiawen Yao et al.   MEDICAL IMAGE ANALYSIS

Deep neural network models for computational histopathology: A survey

(2020) Chetan L. Srinidhi et al.   MEDICAL IMAGE ANALYSIS

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection

(2019) Huangjing Lin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Revisiting multiple instance neural networks

(2018) Xinggang Wang et al.   PATTERN RECOGNITION

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

(2017) Babak Ehteshami Bejnordi et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Improving Computer-Aided Detection Using_newlineConvolutional Neural Networks and Random View Aggregation

(2016) Holger R. Roth et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Multistage Discriminative Model for Tumor and Lymph Node Detection in Thoracic Images

(2012) Yang Song et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Computational pathology: Challenges and promises for tissue analysis

(2011) Thomas J. Fuchs et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Data clustering: 50 years beyond K-means

(2009) Anil K. Jain   PATTERN RECOGNITION LETTERS

Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development

(2008) O. Sertel et al.   PATTERN RECOGNITION