Pathology

Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

10,233 articles

Showing 6322-6342 of 10,233 articles

ADPv2: A Hierarchical Histological Tissue Type-Annotated Dataset for Potential Biomarker Discovery of Colorectal Disease

Computational pathology (CoPath) leverages histopathology images to enhance diagnostic precision a...

Jul 2025 http://arxiv.org/abs/2507.05656v2

Water Hardness from Photos of Dried Drop Stains: Reporter Salts Enable Low-Concentration Detection.

Water hardness is critical in domestic and industrial systems, typically measured by titration, atom...

Jul 2025 40548960

Self-supervised Deep Learning for Denoising in Ultrasound Microvascular Imaging

Ultrasound microvascular imaging (UMI) is often hindered by low signal-to-noise ratio (SNR), espec...

Jul 2025 http://arxiv.org/abs/2507.05451v1

Conditional Graph Neural Network for Predicting Soft Tissue Deformation and Forces

Soft tissue simulation in virtual environments is becoming increasingly important for medical appl...

Jul 2025 http://arxiv.org/abs/2507.05315v1

Sequential Attention-based Sampling for Histopathological Analysis

Deep neural networks are increasingly applied for automated histopathology. Yet, whole-slide image...

Jul 2025 http://arxiv.org/abs/2507.05077v2

SPATIA: Multimodal Model for Prediction and Generation of Spatial Cell Phenotypes

Understanding how cellular morphology, gene expression, and spatial organization jointly shape tis...

Jul 2025 http://arxiv.org/abs/2507.04704v1

SPIDER: Structure-Preferential Implicit Deep Network for Biplanar X-ray Reconstruction

Biplanar X-ray imaging is widely used in health screening, postoperative rehabilitation evaluation...

Jul 2025 http://arxiv.org/abs/2507.04684v1

Colorectal Cancer Tumor Grade Segmentation in Digital Histopathology Images: From Giga to Mini Challenge

Colorectal cancer (CRC) is the third most diagnosed cancer and the second leading cause of cancer-...

Jul 2025 http://arxiv.org/abs/2507.04681v1

Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning.

The advent of endovascular thrombectomy has significantly improved outcomes for stroke patients with...

Jul 2025 39827468

ViTaL: A Multimodality Dataset and Benchmark for Multi-pathological Ovarian Tumor Recognition

Ovarian tumor, as a common gynecological disease, can rapidly deteriorate into serious health cris...

Jul 2025 http://arxiv.org/abs/2507.04383v1

LoRAShield: Data-Free Editing Alignment for Secure Personalized LoRA Sharing

The proliferation of Low-Rank Adaptation (LoRA) models has democratized personalized text-to-image...

Jul 2025 http://arxiv.org/abs/2507.07056v1

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation

Accurate gland segmentation in histopathology images is essential for cancer diagnosis and prognos...

Jul 2025 http://arxiv.org/abs/2507.03923v1

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans

Focal liver lesions (FLL) are common clinical findings during physical examination. Early diagnosi...

Jul 2025 http://arxiv.org/abs/2507.03872v1

Rapid diagnosis of lung cancer by multi-modal spectral data combined with deep learning.

Lung cancer is a malignant tumor that poses a serious threat to human health. Existing lung cancer d...

Jul 2025 40073660

Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Prostate cancer (PCa) is a leading cause of cancer-related mortality in men, and accurate identifi...

Jul 2025 http://arxiv.org/abs/2507.03421v2

Hybrid-View Attention for csPCa Classification in TRUS

Prostate cancer (PCa) is a leading cause of cancer-related mortality in men, and accurate identifi...

Jul 2025 http://arxiv.org/abs/2507.03421v1

Intelligent Histology for Tumor Neurosurgery

The importance of rapid and accurate histologic analysis of surgical tissue in the operating room ...

Jul 2025 http://arxiv.org/abs/2507.03037v1

Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis

Multiple instance learning (MIL) significantly reduced annotation costs via bag-level weak labels ...

Jul 2025 http://arxiv.org/abs/2507.02395v2

spaLLM: enhancing spatial domain analysis in multi-omics data through large language model integration.

Spatial multi-omics technologies provide valuable data on gene expression from various omics in the ...

Jul 2025 40608008

Combining Spatial Transcriptomics, Pseudotime, and Machine Learning Enables Discovery of Biomarkers for Prostate Cancer.

UNLABELLED: Early cancer diagnosis is crucial but challenging owing to the lack of reliable biomarke...

Jul 2025 40293712

Cells Keep Diverse Company in Diseased Tissues.

Emerging spatial profiling technologies have revolutionized our understanding of how tissue architec...

Jul 2025 40378285

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