Article

Contrastive Learning for Omics-guided Whole-slide Visual Embedding Representation

2025-01-15

Abstract excerpt

While computational pathology has transformed cancer diagnosis and prognosis prediction, existing computational methods remain limited in their ability to decipher the complex molecular characteristics within tumors. We present CLOVER (Contrastive Learning for Omics-guided whole-slide Visual Embedding Representation), a novel deep learning framework that leverages self-supervised contrastive learning to integrate...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5d06dac7-fafe-5e33-9fe1-e3c9bfdd39c0
DOI: 10.1101/2025.01.12.632280

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Contrastive Learning for Omics-guided Whole-slide Visual Embedding RepresentationDOI 10.1101/2025.01.12.632280Read

H2O: A Foundation Model Bridging Histopathology to Spatial Multi-Omics ProfilingSemantic proximity Read

PathOmCLIP: Connecting tumor histology with spatial gene expression via locally enhanced contrastive learning of Pathology and Single-cell foundation modelSemantic proximity Read

Translating Histopathology Foundation Model Embeddings into Cellular and Molecular Features for Clinical StudiesSemantic proximity Read

CLEAR-HPV: Interpretable Concept Discovery for HPV-Associated Morphology in Whole-Slide HistologySemantic proximity Read

A deep learning-based multiscale integration of spatial omics with tumor morphologySemantic proximity Read

Transcriptomic learning for digital pathologySemantic proximity Read

Contrastive learning-based histopathological features infer molecular subtypes and clinical outcomes of breast cancer from unannotated whole slide images.Semantic proximity Read

Transformer with convolution and graph-node co-embedding: An accurate and interpretable vision backbone for predicting gene expressions from local histopathological image.Semantic proximity Read

Multimodal Contrastive Alignment of Histopathology and Bulk Transcriptomics in Breast CancerSemantic proximity Read

Image model embeddings for digital pathology and drug development via self-supervised learningSemantic proximity Read

Dissecting and directing pathology foundation modelsSemantic proximity Read

BRIDGE: A Multi-organ Histo-ST Foundation Model Enables Virtual Spatial Transcriptomics for Enhanced Few-shot Cancer DiagnosisSemantic proximity Read