Pathology

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

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On herbarium specimen images and artificial intelligence.

Digitized herbarium specimens are increasingly used to train artificial intelligence (AI) models in ...

A Novel Two-step Classification Approach for Differentiating Bone Metastases From Benign Bone Lesions in SPECT/CT Imaging.

RATIONALE AND OBJECTIVES: This study aims to develop and validate a novel two-step deep learning fra...

Stochastic Orientational Encoding via Hydrogen Bonding Driven Assembly of Woven-Like Molecular Physically Unclonable Functions.

The prevention of counterfeiting and the assurance of object authenticity require stochastic encodin...

Artificial intelligence-assisted endobronchial ultrasound for differentiating between benign and malignant thoracic lymph nodes: a meta-analysis.

BACKGROUND: Endobronchial ultrasound (EBUS) is a widely used imaging modality for evaluating thoraci...

Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network.

To address misdiagnosis caused by feature coupling in multi-label medical image classification, this...

Deep learning-based quantitative analysis of glomerular morphology in IgA nephropathy whole slide images and its prognostic implications.

Kidney pathology of immunoglobulin A nephropathy (IgAN), which is the key finding of both diagnosis ...

Identification of MEG3 and MAPK3 as potential therapeutic targets for osteoarthritis through multiomics integration and machine learning.

Knee osteoarthritis (KOA) is a prevalent degenerative joint disorder, yet its underlying molecular m...

Enhancing breast cancer diagnosis through machine learning algorithms.

Among the most important health concerns in the world, and the number one cause of death in women, i...

Deep learning deciphers the related role of master regulators and G-quadruplexes in tissue specification.

G-quadruplexes (GQs) are non-canonical DNA structures encoded by G-flipons with potential roles in g...

INFO-RF-based fault diagnosis and analysis method for busbars.

With the continuous expansion of power system scale and advancements in intelligence, the accuracy a...

Differential Diagnosis of Papillary Thyroid Carcinoma and Nodular Goiter With Papillary Hyperplasia Using Hyperspectral Imaging Technology.

Papillary thyroid carcinoma (PTC) and nodular goiter with papillary hyperplasia (NGPH) share similar...

Development of a tongue image-based machine learning tool for the diagnosis of colorectal cancer: a prospective multicentre clinical cohort study.

Colorectal cancer (CRC) remains a persistent major global health burden, with traditional diagnostic...

A deep learning-based computed tomography reading system for the diagnosis of lung cancer associated with cystic airspaces.

To propose a deep learning model and explore its performance in the auxiliary diagnosis of lung canc...

Developing transferable and universal IR biomarkers for intraoperative colorectal cancer diagnosis via FTIR spectroscopy.

Histological staining has long been the gold standard for cancer detection, but it is limited by sub...

AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis.

Lung cancer remains the leading cause of cancer-related mortality worldwide, necessitating accurate ...

RareNet: a deep learning model for rare cancer diagnosis.

Although significant advances have been made in the early detection of many cancers, challenges rema...

Comprehensive machine learning analysis of PANoptosis signatures in multiple myeloma identifies prognostic and immunotherapy biomarkers.

PANoptosis is closely associated with tumorigenesis and therapeutic response, yet its role in multip...

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