Results 61 to 70 of about 196,015 (277)
Virtual microscopy in the undergraduate teaching of pathology
Journal of Pathology Informatics, 2015 Background: Little evidence is available concerning the impact of virtual microscopy (VM) in the undergraduate teaching of pathology. We aimed: (1) to determine the impact in student scores when moving from conventional microscopy (CM) to VM; (2) to ...
Oriol Ordi +9 more
doaj +1 more source
Classification of Thyroid Carcinoma in Whole Slide Images Using Cascaded CNN
IEEE Access, 2021 The objective of this research is to build a “Whole Slide Images” classification system using Convolutional Neural Network (CNN). This system is capable of classifying Thyroid tumors into three types: Follicular adenoma, follicular ...
Ahmed S. El-Hossiny +4 more
doaj +1 more source
RIPK4 function interferes with melanoma cell adhesion and metastasis
Molecular Oncology, EarlyView.RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski +9 more
wiley +1 more source
RT-4M: Real-Time Mosaicing Manager for Manual Microscopy System
SensorsThe creation of virtual slides, i.e., high-resolution digital images of biological samples, is expensive, and existing manual methods often suffer from stitching errors and additional reimaging costs.
Nobuhito Mori +3 more
doaj +1 more source
Journal of Pathology Informatics, 2012 Background: One of the drawbacks of studying pathology in the second year of medical school in a classroom setting is the relatively limited exposure to patient encounters/clinical rotations, making it difficult to understand and fully appreciate the ...
Adam J Horn +2 more
doaj +1 more source
Learning to Segment Breast Biopsy Whole Slide Images
, 2017 We trained and applied an encoder-decoder model to semantically segment breast biopsy images into biologically meaningful tissue labels. Since conventional encoder-decoder networks cannot be applied directly on large biopsy images and the different sized
Bartlett, Jamen +5 more
core +1 more source
Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
Molecular Oncology, EarlyView.COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source
Classifying Whole Slide Images: What Matters?
, 2023 Recently there have been many algorithms proposed for the classification of very high resolution whole slide images (WSIs). These new algorithms are mostly focused on finding novel ways to combine the information from small local patches extracted from the slide, with an emphasis on effectively aggregating more global information for the final ...
Nguyen, Long +3 more
openaire +2 more sources
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Deep Learning for Whole Slide Image Analysis: An Overview
Frontiers in Medicine, 2019 The widespread adoption of whole slide imaging has increased the demand for effective and efficient gigapixel image analysis. Deep learning is at the forefront of computer vision, showcasing significant improvements over previous methodologies on visual ...
Neofytos Dimitriou +2 more
doaj +1 more source