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Showing 6511-6531 of 10,271 articles

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology

The emergence of pathology foundation models has revolutionized computational histopathology, enab...

May 2025 http://arxiv.org/abs/2505.20202v1

Improving Heart Rejection Detection in XPCI Images Using Synthetic Data Augmentation

Accurate identification of acute cellular rejection (ACR) in endomyocardial biopsies is essential ...

May 2025 http://arxiv.org/abs/2505.19746v2

Predicting high confidence ctDNA somatic variants with ensemble machine learning models.

Circulating tumour DNA (ctDNA) is a minimally invasive cancer biomarker that can be used to inform t...

May 2025 40419568

Smart neural network and cognitive computing process for multi task nuclei detection segmentation and classification in breast cancer histopathology images.

The detection, segmentation, and differentiation of benign and malignant nuclei from the histopathol...

May 2025 40419621

Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching

Spatial transcriptomics (ST) has emerged as a powerful technology for bridging histology imaging w...

May 2025 http://arxiv.org/abs/2506.05361v1

SPARS: Self-Play Adversarial Reinforcement Learning for Segmentation of Liver Tumours

Accurate tumour segmentation is vital for various targeted diagnostic and therapeutic procedures f...

May 2025 http://arxiv.org/abs/2505.18989v1

[Integrated diagnosis and treatment of peritoneal metastasis in gastric cancer].

The high incidence and mortality rates of gastric cancer pose a significant burden on human health a...

May 2025 40404362

Building molecular model series from heterogeneous CryoEM structures using Gaussian mixture models and deep neural networks.

Cryogenic electron microscopy (CryoEM) produces structures of macromolecules at near-atomic resoluti...

May 2025 40415012

Mind the Gap: A Practical Attack on GGUF Quantization

With the increasing size of frontier LLMs, post-training quantization has become the standard for ...

May 2025 http://arxiv.org/abs/2505.23786v3

An Artificial Intelligence Model for Early Stage Breast Cancer Detection from Biopsy Images

Accurate identification of breast cancer types plays a critical role in guiding treatment decision...

May 2025 http://arxiv.org/abs/2505.20332v1

Unsupervised cell segmentation by fast Gaussian Processes

Cell boundary information is crucial for analyzing cell behaviors from time-lapse microscopy video...

May 2025 http://arxiv.org/abs/2505.18902v1

SW-ViT: A Spatio-Temporal Vision Transformer Network with Post Denoiser for Sequential Multi-Push Ultrasound Shear Wave Elastography

Objective: Ultrasound Shear Wave Elastography (SWE) demonstrates great potential in assessing soft...

May 2025 http://arxiv.org/abs/2505.18865v1

C3R: Channel Conditioned Cell Representations for unified evaluation in microscopy imaging

Immunohistochemical (IHC) images reveal detailed information about structures and functions at the...

May 2025 http://arxiv.org/abs/2505.18745v1

Brightness-Invariant Tracking Estimation in Tagged MRI

Magnetic resonance (MR) tagging is an imaging technique for noninvasively tracking tissue motion i...

May 2025 http://arxiv.org/abs/2505.18365v1

Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging

Accurate, real-time monitoring of tissue ischemia is crucial to understand tissue health and guide...

May 2025 http://arxiv.org/abs/2505.18010v1

Promptable cancer segmentation using minimal expert-curated data

Automated segmentation of cancer on medical images can aid targeted diagnostic and therapeutic pro...

May 2025 http://arxiv.org/abs/2505.17915v1

Multimodal ultrasound-based radiomics and deep learning for differential diagnosis of O-RADS 4-5 adnexal masses.

BACKGROUND: Accurate differentiation between benign and malignant adnexal masses is crucial for pati...

May 2025 40410823

Identification of molecular subtypes and a prognostic signature based on machine learning and purine metabolism-related genes in breast cancer.

Breast cancer (BC), one of the most prevalent malignant tumors worldwide, lacks efficacious diagnost...

May 2025 40419914

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens

Biological collections house millions of specimens documenting Earth's biodiversity, with digital ...

May 2025 http://arxiv.org/abs/2505.17317v1

Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification

Accurate classification of skin lesions from dermatoscopic images is essential for diagnosis and t...

May 2025 http://arxiv.org/abs/2505.16338v1

Machine learning using scRNA-seq Combined with bulk-seq to identify lactylation-related hub genes in carotid arteriosclerosis.

Atherosclerosis is a chronic inflammatory disease, this study aims to investigate the immune landsca...

May 2025 40404675