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BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images

https://doi.org/10.1093/database/baac093

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy

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Invasive Ductal Carcinoma

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Challenges and Opportunities

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Towards Explainable Graph Representations in Digital Pathology

What points at this work

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inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889091openalex-snapshot

COREMIL: Contextual Position Encoding-based Retrievable Multiple Instance Learning for Slide-level Classification

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889349openalex-snapshot

Uncertainty Estimation for Out-of-Distribution Detection of Whole Slide Images

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890365openalex-snapshot

FedImp: Federated Learning Using Important Layers of Client Models for the Diagnosis of Breast Cancer Histopathology Images

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11460329openalex-snapshot

Conditional Random Fields for Interactive Refinement of Histopathological Predictions

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464264openalex-snapshot

SemaMIL: Semantic-Aware Multiple Instance Learning with Retrieval-Guided State Space Modeling for Whole Slide Images

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01952openalex-snapshot

ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis

inferred← citeshttps://doi.org/10.1109/iccv51701.2025.00926openalex-snapshot

GMMamba: Group Masking Mamba for Whole Slide Image Classification

inferred← citeshttps://doi.org/10.1109/icicsp59554.2023.10390669openalex-snapshot

Early Prediction of Ductal Carcinoma Histological Subtypes Via Ensemble Transformer Pipelines in Digital Pathology

inferred← citeshttps://doi.org/10.1109/icosaas68663.2026.11648511openalex-snapshot

Less is More: A Comparative Study of Patch-Efficient MIL in Whole Slide Image Analysis

inferred← citeshttps://doi.org/10.1109/icuis67429.2025.11380461openalex-snapshot

Exploring the Diagnostic Potential of Histopathological Images in AI-based Breast Cancer Detection

inferred← citeshttps://doi.org/10.1109/icvrv67992.2025.00054openalex-snapshot

Dual-Resolution Multiple Instance Learning Framework with Enhanced Instance Discrimination for Whole Slide Image Classification

inferred← citeshttps://doi.org/10.1109/inmic65900.2025.11348309openalex-snapshot

MSHFF-Net: An Explainable Multi-Scale Hierarchical Feature Fusion CNN for Breast Cancer Diagnosis from Histopathological Images

inferred← citeshttps://doi.org/10.1109/isbi56570.2024.10635260openalex-snapshot

Histopathology Image Classification Using Supervised Contrastive Deep Learning

inferred← citeshttps://doi.org/10.1109/isbi61048.2026.11515959openalex-snapshot

Rethinking Slide-Level Adaptation of Pathology Foundation Models

inferred← citeshttps://doi.org/10.1109/jbhi.2025.3551720openalex-snapshot

Privacy-Preserving Data Augmentation for Digital Pathology Using Improved DCGAN

inferred← citeshttps://doi.org/10.1109/jbhi.2025.3584802openalex-snapshot

Leveraging Vision-Language Embeddings for Zero-Shot Learning in Histopathology Images

inferred← citeshttps://doi.org/10.1109/lsp.2026.3700549openalex-snapshot

Nuclear Graph-Guided Multiple Instance Learning for Weakly Supervised Tumor Region Discovery

inferred← citeshttps://doi.org/10.1109/rbme.2024.3425769openalex-snapshot

Analysis and Validation of Image Search Engines in Histopathology

inferred← citeshttps://doi.org/10.1109/tai.2025.3646956openalex-snapshot

Uncertainty Estimation for Graph-Based Learning in Digital Pathology

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3621757openalex-snapshot

SeCoMIL: Semantic Anchor-Based Context-Aware Multiple Instance Learning for Whole Slide Image Classification

inferred← citeshttps://doi.org/10.1109/tmi.2023.3310716openalex-snapshot

Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets

inferred← citeshttps://doi.org/10.1109/tmi.2023.3341846openalex-snapshot

DeepTree: Pathological Image Classification Through Imitating Tree-Like Strategies of Pathologists

inferred← citeshttps://doi.org/10.1109/tmi.2024.3453386openalex-snapshot

Shapley Values-Enabled Progressive Pseudo Bag Augmentation for Whole-Slide Image Classification

inferred← citeshttps://doi.org/10.1109/tmi.2024.3475587openalex-snapshot

Unleash the Power of State Space Model for Whole Slide Image With Local Aware Scanning and Importance Resampling

inferred← citeshttps://doi.org/10.1109/tmi.2024.3520602openalex-snapshot

HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification

inferred← citeshttps://doi.org/10.1109/tmi.2025.3548872openalex-snapshot

ToPoFM: Topology-Guided Pathology Foundation Model for High-Resolution Pathology Image Synthesis With Cellular-Level Control

inferred← citeshttps://doi.org/10.1109/tmi.2025.3638243openalex-snapshot

SIB-MIL: Sparsity-Induced Bayesian Neural Network for Robust Multiple Instance Learning on Whole Slide Image Analysis

inferred← citeshttps://doi.org/10.1109/tmi.2026.3697015openalex-snapshot

Frequency-Aware Causal Regularization for Multiple Instance Learning in Whole Slide Image Classification

inferred← citeshttps://doi.org/10.1109/wacv61042.2026.00057openalex-snapshot

SGPMIL: Sparse Gaussian Process Multiple Instance Learning

inferred← citeshttps://doi.org/10.1109/wacv61042.2026.00405openalex-snapshot

Decomposition Sampling for Efficient Region Annotations in Active Learning

inferred← citeshttps://doi.org/10.1109/wacv61042.2026.00833openalex-snapshot

Exploiting Label-Independent Regularization from Spatial Patterns for Whole Slide Image Analysis

inferred← citeshttps://doi.org/10.1111/his.70149openalex-snapshot

World Health Organization classification of tumours of the breast 6th edition 2026

inferred← citeshttps://doi.org/10.1117/1.jmi.12.6.061404openalex-snapshot

Self-supervision enhances instance-based multiple instance learning methods in digital pathology: a benchmark study

inferred← citeshttps://doi.org/10.1117/12.3036252openalex-snapshot

CycleGAN-driven data augmentation for improved neural network disease detection

inferred← citeshttps://doi.org/10.1145/3747593openalex-snapshot

Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology

inferred← citeshttps://doi.org/10.1155/2022/2961610openalex-snapshot

Segmentation of Breast Tubules in H&E Images Based on a DKS‐DoubleU‐Net Model

inferred← citeshttps://doi.org/10.1177/08953996261451158openalex-snapshot

CLID: A contrastive learning approach for multi-class classification of breast cancer histopathological images with imbalanced distribution

inferred← citeshttps://doi.org/10.1177/09287329241296354openalex-snapshot

BCD-TransNet: Automatic breast cancer detection and classification using transfer learning approach

inferred← citeshttps://doi.org/10.1186/s13058-025-02019-4openalex-snapshot

Predicting Nottingham grade in breast cancer digital pathology using a foundation model

inferred← citeshttps://doi.org/10.1360/csb-2025-5045openalex-snapshot

Research progress of universalvision foundation models in computational pathology

inferred← citeshttps://doi.org/10.3389/fimmu.2024.1334348openalex-snapshot

MIHIC: a multiplex IHC histopathological image classification dataset for lung cancer immune microenvironment quantification

inferred← citeshttps://doi.org/10.3389/fmed.2024.1450103openalex-snapshot

Histopathology in focus: a review on explainable multi-modal approaches for breast cancer diagnosis

inferred← citeshttps://doi.org/10.3390/ai7060228openalex-snapshot

Phenotyping of Histology Imaging Data with Histomics

inferred← citeshttps://doi.org/10.3390/cancers17091425openalex-snapshot

Understanding the Impact of Deep Learning Model Parameters on Breast Cancer Histopathological Classification Using ANOVA

inferred← citeshttps://doi.org/10.3390/cancers18162723openalex-snapshot

Artificial Intelligence for Diagnostic and Prognostic Support in Breast Cancer: A Literature Overview

inferred← citeshttps://doi.org/10.3390/diagnostics15091150openalex-snapshot

Advanced Deep Learning Approaches in Detection Technologies for Comprehensive Breast Cancer Assessment Based on WSIs: A Systematic Literature Review

inferred← citeshttps://doi.org/10.3390/electronics14102056openalex-snapshot

Classification of Whole-Slide Pathology Images Based on State Space Models and Graph Neural Networks

inferred← citeshttps://doi.org/10.3390/info15020098openalex-snapshot

Improving Breast Tumor Multi-Classification from High-Resolution Histological Images with the Integration of Feature Space Data Augmentation

inferred← citeshttps://doi.org/10.3390/jimaging10050108openalex-snapshot

Optimizing Vision Transformers for Histopathology: Pretraining and Normalization in Breast Cancer Classification

inferred← citeshttps://doi.org/10.3390/s24217022openalex-snapshot

MR_NET: A Method for Breast Cancer Detection and Localization from Histological Images Through Explainable Convolutional Neural Networks

inferred← citeshttps://doi.org/10.55525/tjst.1483617openalex-snapshot

Early Diagnosis of Invasive Ductal Carcinoma Breast Cancer using Deep Learning Framework

inferred← citeshttps://doi.org/10.62993/cmed.2025.5.4openalex-snapshot

Bioresource of small salivary glands for the study of sialadenitis in Sjorgen's syndrome

inferred← citeshttps://doi.org/10.64898/2026.04.16.26351016openalex-snapshot

Data Matters: The Impact of Data Curation in the Classification of Histopathological Datasets

inferred← citeshttps://doi.org/10.64898/2026.06.10.731443openalex-snapshot

TopoMIL: Topology Improves Multiple Instance Learning in Diagnostic Microscopic Images

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