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Showing 6721-6741 of 10,271 articles

TopoGEN: topology-driven microstructure generation for in silico modeling of fiber network mechanics

The fields of mechanobiology and biomechanics are expanding our understanding of the complex behav...

Mar 2025 http://arxiv.org/abs/2503.19832v1

GRN+: A Simplified Generative Reinforcement Network for Tissue Layer Analysis in 3D Ultrasound Images for Chronic Low-back Pain

3D ultrasound delivers high-resolution, real-time images of soft tissues, which is essential for p...

Mar 2025 http://arxiv.org/abs/2503.19736v1

Single Shot AI-assisted quantification of KI-67 proliferation index in breast cancer

Reliable quantification of Ki-67, a key proliferation marker in breast cancer, is essential for mo...

Mar 2025 http://arxiv.org/abs/2503.19606v1

Learning to segment anatomy and lesions from disparately labeled sources in brain MRI

Segmenting healthy tissue structures alongside lesions in brain Magnetic Resonance Images (MRI) re...

Mar 2025 http://arxiv.org/abs/2503.18840v2

Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology

Vision foundation models (FMs) are accelerating the development of digital pathology algorithms an...

Mar 2025 http://arxiv.org/abs/2503.18709v1

Adapting Video Diffusion Models for Time-Lapse Microscopy

We present a domain adaptation of video diffusion models to generate highly realistic time-lapse m...

Mar 2025 http://arxiv.org/abs/2503.18583v2

Development of a deep learning-based model to evaluate changes during radiotherapy using cervical cancer digital pathology.

This study aims to create a deep learning-based classification model for cervical cancer biopsy befo...

Mar 2025 40051384

Histomorphology-driven multi-instance learning for breast cancer WSI classification

Histomorphology is crucial in breast cancer diagnosis. However, existing whole slide image (WSI) c...

Mar 2025 http://arxiv.org/abs/2503.17983v1

Towards Invisible Backdoor Attack on Text-to-Image Diffusion Model

Backdoor attacks targeting text-to-image diffusion models have advanced rapidly, enabling attacker...

Mar 2025 http://arxiv.org/abs/2503.17724v1

Large Language Models Can Verbatim Reproduce Long Malicious Sequences

Backdoor attacks on machine learning models have been extensively studied, primarily within the co...

Mar 2025 http://arxiv.org/abs/2503.17578v1

DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology Diagnosis

Skin diseases, such as skin cancer, are a significant public health issue, and early diagnosis is ...

Mar 2025 http://arxiv.org/abs/2503.17536v1

Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in Histopathology

In this paper, we address the challenge of few-shot classification in histopathology whole slide i...

Mar 2025 http://arxiv.org/abs/2503.17238v1

A Comprehensive Framework for Predictive Computational Modeling of Growth and Remodeling in Tissue-Engineered Cardiovascular Implants

Developing clinically viable tissue-engineered cardiovascular implants remains a formidable challe...

Mar 2025 http://arxiv.org/abs/2503.17151v1

A Comparative Analysis of Image Descriptors for Histopathological Classification of Gastric Cancer

Gastric cancer ranks as the fifth most common and fourth most lethal cancer globally, with a disma...

Mar 2025 http://arxiv.org/abs/2503.17105v1

PH2ST:ST-Prompt Guided Histological Hypergraph Learning for Spatial Gene Expression Prediction

Spatial Transcriptomics (ST) reveals the spatial distribution of gene expression in tissues, offer...

Mar 2025 http://arxiv.org/abs/2503.16816v2

3-D Image-to-Image Fusion in Lightsheet Microscopy by Two-Step Adversarial Network: Contribution to the FuseMyCells Challenge

Lightsheet microscopy is a powerful 3-D imaging technique that addresses limitations of traditiona...

Mar 2025 http://arxiv.org/abs/2503.16075v1

Empowering Medical Multi-Agents with Clinical Consultation Flow for Dynamic Diagnosis

Traditional AI-based healthcare systems often rely on single-modal data, limiting diagnostic accur...

Mar 2025 http://arxiv.org/abs/2503.16547v1

DPFAGA-Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network

We propose the joint graph attention neural network (GAT), clustering with adaptive neighbors (CAN...

Mar 2025 http://arxiv.org/abs/2503.15563v2

BI-RADS prediction of mammographic masses using uncertainty information extracted from a Bayesian Deep Learning model

The BI_RADS score is a probabilistic reporting tool used by radiologists to express the level of u...

Mar 2025 http://arxiv.org/abs/2503.13999v2

HySurvPred: Multimodal Hyperbolic Embedding with Angle-Aware Hierarchical Contrastive Learning and Uncertainty Constraints for Survival Prediction

Multimodal learning that integrates histopathology images and genomic data holds great promise for...

Mar 2025 http://arxiv.org/abs/2503.13862v1

SMILE: a Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis

Spread through air spaces (STAS) represents a newly identified aggressive pattern in lung cancer, ...

Mar 2025 http://arxiv.org/abs/2503.13799v1