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Showing 351–400 of 745 papers

TitleStatusHype
Immunocto: a massive immune cell database auto-generated for histopathology—0
Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis—0
mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis—0
Benchmarking Hierarchical Image Pyramid Transformer for the classification of colon biopsies and polyps in histopathology images—0
Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide ImagesCode0
HoverFast: an accurate, high-throughput, clinically deployable nuclear segmentation tool for brightfield digital pathology images—0
Comparing ImageNet Pre-training with Digital Pathology Foundation Models for Whole Slide Image-Based Survival Analysis—0
Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images -- Nevus & MelanomaCode0
Deep Blur Multi-Model (DeepBlurMM) -- a strategy to mitigate the impact of image blur on deep learning model performance in histopathology image analysis—0
Learning from Partial Label Proportions for Whole Slide Image Segmentation—0
Fast TILs -- A Pipeline for Efficient TILs Estimation in Non-Small Cell Lung Cancer—0
Transformer-Based Self-Supervised Learning for Histopathological Classification of Ischemic Stroke Clot Origin—0
Masked Attention as a Mechanism for Improving Interpretability of Vision Transformers—0
SPLICE -- Streamlining Digital Pathology Image Processing—0
Nuclei-Location Based Point Set Registration of Multi-Stained Whole Slide Images—0
RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge—0
BAHOP: Similarity-based Basin Hopping for A fast hyper-parameter search in WSI classification—0
Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images—0
PD-L1 Classification of Weakly-Labeled Whole Slide Images of Breast CancerCode0
SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction—0
Survival Prediction Across Diverse Cancer Types Using Neural Networks—0
Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis—0
Classification of Nasopharyngeal Cases using DenseNet Deep Learning Architecture—0
Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning—0
Decoding the visual attention of pathologists to reveal their level of expertise—0
Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks—0
WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathologyCode0
Towards Efficient Information Fusion: Concentric Dual Fusion Attention Based Multiple Instance Learning for Whole Slide Images—0
Adversary-Robust Graph-Based Learning of WSIs—0
Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification—0
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning—0
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offsCode0
C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading—0
Multiple Instance Learning for Glioma Diagnosis using Hematoxylin and Eosin Whole Slide Images: An Indian Cohort Study—0
Tumor segmentation on whole slide images: training or prompting?—0
HistoSegCap: Capsules for Weakly-Supervised Semantic Segmentation of Histological Tissue Type in Whole Slide Images—0
Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide imagesCode0
A self-supervised framework for learning whole slide representations—0
Unleashing the Infinity Power of Geometry: A Novel Geometry-Aware Transformer (GOAT) for Whole Slide Histopathology Image Analysis—0
GRASP: GRAph-Structured Pyramidal Whole Slide Image RepresentationCode0
CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\&E stained images—0
An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution—0
Prediction of Breast Cancer Recurrence Risk Using a Multi-Model Approach Integrating Whole Slide Imaging and Clinicopathologic Features—0
Learned Image resizing with efficient training (LRET) facilitates improved performance of large-scale digital histopathology image classification models—0
M^2Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction—0
Attention to detail: inter-resolution knowledge distillationCode0
RudolfV: A Foundation Model by Pathologists for Pathologists—0
Analysis and Validation of Image Search Engines in HistopathologyCode0
Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis—0
Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides—0
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