A multi-resolution model for histopathology image classification and localization with multiple instance learning

2021/02/10 by Jiayun Li, Wenyuan Li, Anthony Sisk +6 · 30 citations
Computer Science · Medicine · #AI in cancer detection #Colorectal Cancer Screening and Detection #Image Retrieval and Classification Techniques

paper · doi:10.1016/j.compbiomed.2021.104253

Citations

• Cancer statistics, 2019

Cited by

• Sequential Attention-based Sampling for Histopathological Analysis
• Efficient Classification of Very Large Images with Tiny Objects
• Explainable AI for computational pathology identifies model limitations and tissue biomarkers
• milearn: A Python Package for Multi-Instance Machine Learning
• Learning from the Right Patches: A Two-Stage Wavelet-Driven Masked Autoencoder for Histopathology Representation Learning
• MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
• SPADE: Spatial Transcriptomics and Pathology Alignment Using a Mixture of Data Experts for an Expressive Latent Space
• [Prediction of Response to Neoadjuvant Chemotherapy for Breast Cancer Based on Histomorphology Analysis of Needle Biopsy Images]. [europepmc]
• Deep neural network trained on gigapixel images improves lymph node metastasis detection in clinical settings. [europepmc]
• Building Efficient CNN Architectures for Histopathology Images Analysis: A Case-Study in Tumor-Infiltrating Lymphocytes Classification. [europepmc]
• MixPatch: A New Method for Training Histopathology Image Classifiers. [europepmc]
• Development and Evaluation of a Novel Deep-Learning-Based Framework for the Classification of Renal Histopathology Images. [europepmc]
• Deep multiple instance learning for predicting chemotherapy response in non-small cell lung cancer using pretreatment CT images. [europepmc]
• Risk-aware survival time prediction from whole slide pathological images. [europepmc]
• The effect of diabetes and tissue depth on adipose chamber size and plantar soft tissue features. [europepmc]
• Automated Lung Cancer Segmentation in Tissue Micro Array Analysis Histopathological Images Using a Prototype of Computer-Assisted Diagnosis. [europepmc]
• Weakly supervised detection and classification of basal cell carcinoma using graph-transformer on whole slide images. [europepmc]
• Deep Learning Methodologies Applied to Digital Pathology in Prostate Cancer: A Systematic Review. [europepmc]
• Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. [europepmc]
• Multiple-instance learning of somatic mutations for the classification of tumour type and the prediction of microsatellite status. [europepmc]
• Harnessing artificial intelligence for prostate cancer management. [europepmc]
• Deep Learning Artificial Intelligence Predicts Homologous Recombination Deficiency and Platinum Response From Histologic Slides. [europepmc]
• Robust ROI Detection in Whole Slide Images Guided by Pathologists' Viewing Patterns. [europepmc]
• Neighborhood attention transformer multiple instance learning for whole slide image classification. [europepmc]
• Leveraging explainable AI and large-scale datasets for comprehensive classification of renal histologic types. [europepmc]
• Machine learning methods for histopathological image analysis: Updates in 2024. [europepmc]
• Understanding the Impact of Deep Learning Model Parameters on Breast Cancer Histopathological Classification Using ANOVA. [europepmc]
• CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification. [europepmc]
• Outsmarting Metastatic Prostate Cancer: Integration of Imaging, Liquid Biopsies and Biomarkers With Artificial Intelligence. [europepmc]
• Flexible and Highly-Efficient Feature Perception for Molecular Traits Prediction via Self-interactive Deep Learning [europepmc]