Retmil: Retentive multiple instance learning for histopathological whole slide image classification
Histopathological whole slide image (WSI) analysis with deep learning has become a
research focus in computational pathology. The current paradigm is mainly based on …
research focus in computational pathology. The current paradigm is mainly based on …
Dgmil: Distribution guided multiple instance learning for whole slide image classification
Abstract Multiple Instance Learning (MIL) is widely used in analyzing histopathological
Whole Slide Images (WSIs). However, existing MIL methods do not explicitly model the data …
Whole Slide Images (WSIs). However, existing MIL methods do not explicitly model the data …
Multiple instance learning with center embeddings for histopathology classification
P Chikontwe, M Kim, SJ Nam, H Go… - Medical Image Computing …, 2020 - Springer
Histopathology image analysis plays an important role in the treatment and diagnosis of
cancer. However, analysis of whole slide images (WSI) with deep learning is challenging …
cancer. However, analysis of whole slide images (WSI) with deep learning is challenging …
Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification
Multiple instance learning (MIL) has been increasingly used in the classification of
histopathology whole slide images (WSIs). However, MIL approaches for this specific …
histopathology whole slide images (WSIs). However, MIL approaches for this specific …
Diagnose like a pathologist: Transformer-enabled hierarchical attention-guided multiple instance learning for whole slide image classification
Multiple Instance Learning (MIL) and transformers are increasingly popular in
histopathology Whole Slide Image (WSI) classification. However, unlike human pathologists …
histopathology Whole Slide Image (WSI) classification. However, unlike human pathologists …
RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification
E Pochet, R Maroun, R Trullo - … Workshop on Machine Learning in Medical …, 2023 - Springer
Whole slide image (WSI) classification is a critical task in computational pathology. However,
the gigapixel-size of such images remains a major challenge for the current state of deep …
the gigapixel-size of such images remains a major challenge for the current state of deep …
Prompt-mil: Boosting multi-instance learning schemes via task-specific prompt tuning
Whole slide image (WSI) classification is a critical task in computational pathology, requiring
the processing of gigapixel-sized images, which is challenging for current deep-learning …
the processing of gigapixel-sized images, which is challenging for current deep-learning …
Exploring visual prompts for whole slide image classification with multiple instance learning
Multiple instance learning (MIL) has emerged as a popular method for classifying
histopathology whole slide images (WSIs). However, existing approaches typically rely on …
histopathology whole slide images (WSIs). However, existing approaches typically rely on …
Multiple Instance Learning with Critical Instance for Whole Slide Image Classification
Y Zhou, Y Lu - 2023 IEEE 20th International Symposium on …, 2023 - ieeexplore.ieee.org
Histopathological whole slide image (WSI) classification is a fundamental task in clinical
diagnosis. The extremely high resolution of WSIs makes it laborious to obtain localized …
diagnosis. The extremely high resolution of WSIs makes it laborious to obtain localized …
Cluster-to-conquer: A framework for end-to-end multi-instance learning for whole slide image classification
In recent years, the availability of digitized Whole Slide Images (WSIs) has enabled the use
of deep learning-based computer vision techniques for automated disease diagnosis …
of deep learning-based computer vision techniques for automated disease diagnosis …