Cancers, Free Full-Text
Por um escritor misterioso
Last updated 17 junho 2024
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The use of multiparametric magnetic resonance imaging (mpMRI) has become a common technique used in guiding biopsy and developing treatment plans for prostate lesions. While this technique is effective, non-invasive methods such as radiomics have gained popularity for extracting imaging features to develop predictive models for clinical tasks. The aim is to minimize invasive processes for improved management of prostate cancer (PCa). This study reviews recent research progress in MRI-based radiomics for PCa, including the radiomics pipeline and potential factors affecting personalized diagnosis. The integration of artificial intelligence (AI) with medical imaging is also discussed, in line with the development trend of radiogenomics and multi-omics. The survey highlights the need for more data from multiple institutions to avoid bias and generalize the predictive model. The AI-based radiomics model is considered a promising clinical tool with good prospects for application.
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Cancers, Free Full-Text
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Cancers, Free Full-Text
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2Go Bb Symbols By Slow Poison - Colaboratory
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PD-1 Blockade in Mismatch Repair–Deficient, Locally Advanced Rectal Cancer
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I Am Cancer Free! - Cancer Free Gift - Pin
from Flow Cytometry to Cytomics, Page 2
Information and Resources about for Cancer: Breast, Colon, Lung, Prostate, Skin
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Spatial genomics maps the structure, nature and evolution of cancer clones
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Precision cancer medicine: Concepts, current practice, and future developments - Edsjö - 2023 - Journal of Internal Medicine - Wiley Online Library
Cancer Text Magic, PDF
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Event-free Survival with Pembrolizumab in Early Triple-Negative Breast Cancer
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Cancers, Free Full-Text
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Circulating Tumor DNA Analysis Guiding Adjuvant Therapy in Stage II Colon Cancer
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Epigenetic regulation during cancer transitions across 11 tumour types
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Cancers, Free Full-Text
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