12 hasil untuk "Turkey Refaee"
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Artikel Jurnal
Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning
PurposeTo develop handcrafted radiomics (HCR) and deep learning (DL) based automated diagnostic tools that can differentiate between idiopathic pulmonary fibrosis (IPF) and non-IPF interstitial lung diseases (ILDs) in patients using high-resolution computed tomography (HRCT) scans.Material and…
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Artikel Jurnal Teks lengkap
The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset
Radiomics–the high throughput extraction of quantitative features from medical images and their correlation with clinical and biological endpoints- is the subject of active and extensive research. Although the field shows promise, the generalizability of radiomic signatures is affected…
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Artikel Jurnal
Clinical utility and reproducibility of intravoxel incoherent motion MRI in rectal cancer: a structured narrative review
IntroductionMagnetic resonance imaging (MRI) is a crucial imaging modality for the management of rectal cancer. Conventional MRI provides detailed anatomical information but has a limited capacity to evaluate tumor biology. Intravoxel Incoherent Motion (IVIM) is an advanced functional MRI technique…
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Artikel Jurnal Teks lengkap
Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework
The advancement of artificial intelligence concurrent with the development of medical imaging techniques provided a unique opportunity to turn medical imaging from mostly qualitative, to further quantitative and mineable data that can be explored for the development of clinical decision support…
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Artikel Jurnal
Deep learning in fracture detection: a narrative review
Artificial intelligence (AI) is a general term that implies the use of a computer to model intelligent behavior with minimal human intervention. AI, particularly deep learning, has recently made substantial strides in perception tasks allowing machines to better represent and interpret complex…
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Artikel Jurnal
The role of molecular imaging in detecting fibrosis in Crohn’s disease
AbstractFibrosis is a pathological process that occurs due to chronic inflammation, leading to the proliferation of fibroblasts and the excessive deposition of extracellular matrix (ECM). The process of long-term fibrosis initiates with tissue hypofunction and progressively culminates in the…
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Artikel Jurnal
Added value of 3′-deoxy-3′-[18F]fluorothymidine-positron emission tomography for response assessment in patients with head and neck cancer: a systematic review
Background and purpose Current tools for evaluating therapy response in head and neck cancer (HNC) have multiple limitations, such as poor representation of heterogeneous tumours, potential complications associated with biopsy collection, and late anti-cancer effects on tumour, leading to delayed…
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Artikel Jurnal Teks lengkap
Radiomics: from qualitative to quantitative imaging
Historically, medical imaging has been a qualitative or semi-quantitative modality. It is difficult to quantify what can be seen in an image, and to turn it into valuable predictive outcomes. As a result of advances in both computational hardware and machine learning algorithms, computers are…
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Artikel Jurnal
Deep learning based identification of bone scintigraphies containing metastatic bone disease foci
Abstract Purpose Metastatic bone disease (MBD) is the most common form of metastases, most frequently deriving from prostate cancer. MBD is screened with bone scintigraphy (BS), which have high sensitivity but low specificity for the diagnosis of MBD, often requiring further investigations. Deep…