Lnpl-mil: Learning from noisy pseudo labels for promoting multiple instance learning in whole slide image
Abstract Gigapixel Whole Slide Images (WSIs) aided patient diagnosis and prognosis
analysis are promising directions in computational pathology. However, limited by …
analysis are promising directions in computational pathology. However, limited by …
Accounting for dependencies in deep learning based multiple instance learning for whole slide imaging
Multiple instance learning (MIL) is a key algorithm for classification of whole slide images
(WSI). Histology WSIs can have billions of pixels, which create enormous computational and …
(WSI). Histology WSIs can have billions of pixels, which create enormous computational and …
Dual-curriculum contrastive multi-instance learning for cancer prognosis analysis with whole slide images
The multi-instance learning (MIL) has advanced cancer prognosis analysis with whole slide
images (WSIs). However, current MIL methods for WSI analysis still confront unique …
images (WSIs). However, current MIL methods for WSI analysis still confront unique …
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 …
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 …
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 …
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 …
Feature re-calibration based multiple instance learning for whole slide image classification
P Chikontwe, SJ Nam, H Go, M Kim, HJ Sung… - … conference on medical …, 2022 - Springer
Whole slide image (WSI) classification is a fundamental task for the diagnosis and treatment
of diseases; but, curation of accurate labels is time-consuming and limits the application of …
of diseases; but, curation of accurate labels is time-consuming and limits the application of …
Exploring low-rank property in multiple instance learning for whole slide image classification
The classification of gigapixel-sized whole slide images (WSIs) with slide-level labels can be
formulated as a multiple-instance-learning (MIL) problem. State-of-the-art models often …
formulated as a multiple-instance-learning (MIL) problem. State-of-the-art models often …
Multiple instance learning via iterative self-paced supervised contrastive learning
Learning representations for individual instances when only bag-level labels are available is
a fundamental challenge in multiple instance learning (MIL). Recent works have shown …
a fundamental challenge in multiple instance learning (MIL). Recent works have shown …