Results 41 to 50 of about 94,269 (266)
Informatics Challenges—Lossy Compression in Medical Imaging [PDF]
Journal of Digital Imaging, 2014 There has been much discussion on the topic of lossy image compression within the medical imaging community, with much of the focus on the potential clinical impact and business benefits. The implications of applying irreversible lossy compression to images as it relates to informatics and management is often not considered thoroughly.
Don, Dennison, Kinson, Ho
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Molecular Oncology, EarlyView.Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Semi-fragile watermarking with recovery capabilities for HGI compression method
Компьютерная оптика, 2022 The article proposes a new semi-fragile watermarking system with the ability of tamper localization and recovery after distortions, adapted for the HGI image compression method.
A.Y. Bavrina, V.A. Fedoseev
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Lossless medical image compression by multilevel decomposition [PDF]
Journal of Digital Imaging, 1996 Lossless image coding is important for medical image compression because any information loss or error caused by the image compression process could affect clinical diagnostic decisions. This paper proposes a lossless compression algorithm for application to medical images that have high spatial correlation.
K S, Kang, H W, Park
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Molecular Oncology, EarlyView.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Mathematics, 2023 The discrete Shmaliy moment transform (DST) is a type of discrete orthogonal moment transform that is widely used in signal and image processing. However, DST is not suitable for lossless image applications due to its non-integer reversible nature.
Achraf Daoui +5 more
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Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
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AIP AdvancesMedical image compression is popular due to increasing memory storage needs, promoting effective transmission and guaranteeing the preservation of diagnostic data without sacrificing patient care.
Linett Sophia D, Kavitha S
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Compression of grayscale scientific and medical image data
Data Science Journal, 2006 A review of issues in image compression is presented, with a strong focus on the wavelet transform and other closely related multiresolution transforms.
F Murtagh +3 more
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Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source