Pathology

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

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Enhanced MRI Representation via Cross-series Masking

Magnetic resonance imaging (MRI) is indispensable for diagnosing and planning treatment in various...

Buster: Implanting Semantic Backdoor into Text Encoder to Mitigate NSFW Content Generation

The rise of deep learning models in the digital era has raised substantial concerns regarding the ...

Improving text-conditioned latent diffusion for cancer pathology

The development of generative models in the past decade has allowed for hyperrealistic data synthe...

TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model

Accurately modeling multi-class cell topology is crucial in digital pathology, as it provides crit...

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images

Thyroid nodule segmentation in ultrasound images is crucial for accurate diagnosis and treatment p...

Automatic Tissue Differentiation in Parotidectomy using Hyperspectral Imaging

In head and neck surgery, continuous intraoperative tissue differentiation is of great importance ...

Enhancing Whole Slide Image Classification through Supervised Contrastive Domain Adaptation

Domain shift in the field of histopathological imaging is a common phenomenon due to the intra- an...

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

Motion artifacts caused by prolonged acquisition time are a significant challenge in Magnetic Reso...

AI-luminating Artificial Intelligence in Inflammatory Bowel Diseases: A Narrative Review on the Role of AI in Endoscopy, Histology, and Imaging for IBD.

Endoscopy, histology, and cross-sectional imaging serve as fundamental pillars in the detection, mon...

Dec 2024 38452040
ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics

Spatial transcriptomics (ST) is an emerging technology that enables medical computer vision scient...

Stain-aware Domain Alignment for Imbalance Blood Cell Classification

Blood cell identification is critical for hematological analysis as it aids physicians in diagnosi...

Unpaired Modality Translation for Pseudo Labeling of Histology Images

The segmentation of histological images is critical for various biomedical applications, yet the l...

MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images

Recent advances in Spatial Transcriptomics (ST) pair histology images with spatially resolved gene...

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation

The segmentation of endoscopic images plays a vital role in computer-aided diagnosis and treatment...

Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning

Self-supervised learning (SSL) methods have emerged as strong visual representation learners by tr...

Research on Cervical Cancer p16/Ki-67 Immunohistochemical Dual-Staining Image Recognition Algorithm Based on YOLO

The p16/Ki-67 dual staining method is a new approach for cervical cancer screening with high sensi...

MeasureNet: Measurement Based Celiac Disease Identification

Celiac disease is an autoimmune disorder triggered by the consumption of gluten. It causes damage ...

Computational Methods for Breast Cancer Molecular Profiling through Routine Histopathology: A Review

Precision medicine has become a central focus in breast cancer management, advancing beyond conven...

Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial Transcriptomics

Recent advancements in multimodal pre-training models have significantly advanced computational pa...

Quantification of Empty Lacunae in Tissue Sections of Osteonecrosis of the Femoral Head Using YOLOv8 Artificial Intelligence Model.

Histomorphometry is an important technique in the evaluation of non-traumatic osteonecrosis of the f...

Dec 2024 39620323
A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma.

HPV status is an important prognostic factor in oropharyngeal squamous cell carcinoma (OPSCC), with ...

Dec 2024 39748723
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