Results 31 to 40 of about 101,148 (258)
Research progress on H-E stained whole slide image analysis by artificial intelligence in lung cancer [PDF]
Zhongguo aizheng zazhiPathology is the gold standard for diagnosis of neoplastic diseases. Whole slide imaging turns traditional slides into digital images, and artificial intelligence has shown great potential in pathological image analysis, especially deep learning models ...
JIANG Mengqi, HAN Yuchen, FU Xiaolong
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Application of whole slide image markup and annotation for pathologist knowledge capture
Journal of Pathology Informatics, 2013 Objective: The ability to transfer image markup and annotation data from one scanned image of a slide to a newly acquired image of the same slide within a single vendor platform was investigated.
Walter S Campbell +2 more
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Whole-slide image analysis outperforms micrograph acquisition for adipocyte size quantification
Adipocyte, 2020 The distinction between biological processes of adipose tissue expansion is crucial to understanding metabolic derangements, but a robust method for quantifying adipocyte size has yet to be standardized.
Anne S Maguire +5 more
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Unsupervised Learning Based on Multiple Descriptors for WSIs Diagnosis
Diagnostics, 2022 An automatic pathological diagnosis is a challenging task because histopathological images with different cellular heterogeneity representations are sometimes limited.
Taimoor Shakeel Sheikh +3 more
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Link Medical Journal of Health and Community ResearchBackground: Oral squamous cell carcinoma grading remains clinically important for prognostic stratification and treatment planning, but conventional diagnostic workflows often evaluate radiological and histopathological data separately.
Mariam Imdad +6 more
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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
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Whole Slide Imaging and telepathology [PDF]
Breast Cancer Research, 2003 Accurate diagnosis of lesions in genetically engineered mice requires a level of experience and expertise that is not available in all institutions. As a result, there is an unmet demand for the services of a limited number of expert pathologists. In order to meet this demand, we have developed several electronic, web-based educational and consulting ...
openaire +1 more source
DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning. [PDF]
PLoS ONE, 2018 The development of whole slide scanners has revolutionized the field of digital pathology. Unfortunately, whole slide scanners often produce images with out-of-focus/blurry areas that limit the amount of tissue available for a pathologist to make ...
Caglar Senaras +3 more
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Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics
FEBS Letters, EarlyView.Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt +8 more
wiley +1 more source
The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
Molecular Oncology, EarlyView.The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce +11 more
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