Pathology

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

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Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis.

Exploring the pathogenic mechanisms of brain disorders within population is an important research in...

Construction of a Multimodal Machine Learning Model for Papillary Thyroid Carcinoma Based on Pathomics and Ultrasound Radiomics Dataset.

The use of machine learning to integrate and analyse multimodal information has broad prospects for ...

Improving internet of vehicles research: A systematic preprocessing framework for the VeReMi dataset.

The Vehicular Reference Misbehavior Dataset (VeReMi) is a vital resource for advancing Intelligent T...

Mexican dataset of digital mammograms (MEXBreast) with suspicious clusters of microcalcifications.

Breast cancer is one of the most prevalent cancers affecting women worldwide. Early detection and tr...

Machine Learning-Based Radiomics in Malignancy Prediction of Pancreatic Cystic Lesions: Evidence from Cyst Fluid Multi-Omics.

The malignant potential of pancreatic cystic lesions (PCLs) varies dramatically, leading to difficul...

Automatic smart brain tumor classification and prediction system using deep learning.

A brain tumor is a serious medical condition characterized by the abnormal growth of cells within th...

Deep learning for malignant lymph node segmentation and detection: a review.

Radiation therapy remains a cornerstone in the treatment of cancer, with the delineation of Organs a...

A novel diagnosis method utilizing MDBO-SVM and imaging genetics for Alzheimer's disease.

Alzheimer's disease (AD) is the most common neurodegenerative disorder, yet its underlying mechanism...

Integrating attention networks into a hybrid model for HER2 status prediction in breast cancer.

Breast cancer is one of the most prevalent cancers amongst women, caused by uncontrolled cell growth...

Peritoneal cytology predicting distant metastasis in uterine carcinosarcoma: machine learning model development and validation.

OBJECTIVE: This study develops and validates a machine learning model using peritoneal cytology to p...

Layer Frozen Multi-Net & Latent Space Feature-Concealed Backdoor Samples Detection.

Identifying feature-concealed backdoor samples that entangle with benign semantics of target-class o...

A systematic review of machine learning algorithms for breast cancer detection.

Breast cancer is one of the leading causes of death and morbidity among women worldwide. Identifying...

Diagnostic Adjuncts and Biopsy Techniques for Oral Potentially Malignant Disorders and Oral Cavity Squamous Cell Carcinoma.

Diagnostic adjuncts for oral potentially malignant disorders such as leukoplakia or erythroplakia ca...

Circulating miRNAs in genitourinary cancer: pioneering advances in early detection and diagnosis.

MicroRNAs (miRNAs) are noncoding, single-stranded RNAs molecules modulating gene expression thanks t...

Can deepseek and ChatGPT be used in the diagnosis of oral pathologies?

OBJECTIVE: Artificial intelligence (AI) has been widely used in various medical fields to support di...

Intelligent Diagnosis of Cervical Lymph Node Metastasis Using a CNN Model.

Lymph node (LN) metastasis is a prevalent cause of recurrence in oral squamous cell carcinoma (OSCC)...

Breast tumour classification in DCE-MRI via cross-attention and discriminant correlation analysis enhanced feature fusion.

AIM: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has proven to be highly sensitiv...

TransAnno-Net: A Deep Learning Framework for Accurate Cell Type Annotation of Mouse Lung Tissue Using Self-supervised Pretraining.

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has become a significant tool for addressing comp...

Breast Pathology Through the Digital Lens.

Digital pathology (DP) has significantly transformed breast pathology at Mount Sinai Hospital by enh...

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