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Artificial Intelligence and Whole Slide Imaging, a new tool for the Microsatellite Instability prediction in Colorectal Cancer: friend or foe?
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Division of Gastroenterology, Fondazione IRCCS - Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy. Electronic address:
Colorectal cancer (CRC) is the third most common and second most deadly cancer worldwide. Despite advances in screening and treatment, CRC is heterogeneous and the response to therapy varies significantly, limiting personalized treatment options. Certain molecular biomarkers, including microsatellite instability (MSI), are critical in planning personalized treatment, although only a subset of patients may benefit.
View Article and Find Full Text PDFLaplacian of Gaussian for Fast Cell Detection and Segmentation in Cervical Cytology to Help in Cancer Diagnosis.
Cureus
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Graduate Studies and Research Division, TecNM Instituto Tecnológico de Morelia, Morelia, MEX.
Cervical cancer remains one of the leading causes of mortality among women worldwide, and its early detection is crucial to improve survival rates. While a Pap smear is widely used as a diagnostic tool, it has limitations in sensitivity and specificity due to the inherent subjectivity of cytological analysis. This study proposes a methodology for cervical cell segmentation and extraction based on the Laplacian of Gaussian (LoG) algorithm, which enables the generation of regions of interest to detect and segment cells precisely in cervical cytology samples.
View Article and Find Full Text PDFMCDGLN: Masked Connection-based Dynamic Graph Learning Network for Autism Spectrum Disorder.
Brain Res Bull
March 2025
School of Software, Taiyuan University of Technology, Taiyuan, 030000, China. Electronic address:
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by complex physiological processes. Previous research has predominantly focused on static cerebral interactions, often neglecting the brain's dynamic nature and the challenges posed by network noise. To address these gaps, we introduce the Masked Connection-based Dynamic Graph Learning Network (MCDGLN).
View Article and Find Full Text PDFImplementing digital pathology: qualitative and financial insights from eight leading European laboratories.
Virchows Arch
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Alira Health, Milan, Italy.
Digital Pathology (DP) revolutionizes the diagnostic workflow. Digitized scanned slides enhance operational efficiency by facilitating remote access, slide storage, reporting and automated AI image analysis, and enabling collaboration and research. However, substantial upfront and maintenance costs remain significant barriers to adoption.
View Article and Find Full Text PDFAnalysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas.
Oral Oncol
March 2025
Department of Medicine, University of Chicago, Chicago, IL 60637, USA; CZ Biohub Chicago, LLC, University of Chicago, Chicago, IL 60642, USA. Electronic address:
Objectives: Human papillomavirus (HPV) influences the pathobiology of Head and Neck Squamous Cell Carcinomas (HSNCCs). While deep learning shows promise in detecting HPV from hematoxylin and eosin (H&E) stained slides, the histologic features utilized remain unclear. This study leverages artificial intelligence (AI) foundation models to characterize histopathologic features associated with HPV presence and objectively describe patterns of variability in the HPV-positive space.
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