Image Processing and Analysis for Preclinical and Clinical Applications

• Otros Autores: Stefano, Alessandro (Editor), Comelli, Albert (Editor), Vernuccio, Federica (Editor)
• Formato: Electrónico Capítulo de libro
• Lenguaje: inglés
• Publicado: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Materias: Research & information: general; Chemistry; deep learning; segmentation; prostate; MRI; ENet; UNet; ERFNet; radiomics; gamma knife; imaging quantification; [11C]-methionine positron emission tomography; cancer; atrial fibrillation; 4D-flow; stasis; pulmonary vein ablation; convolutional neural network; transfer learning; maxillofacial fractures; computed tomography images; radiography; xenotransplant; cancer cells; zebrafish image analysis; in vivo assay; convolutional neural network (CNN); magnetic resonance imaging (MRI); neoadjuvant chemoradiation therapy (nCRT); pathologic complete response (pCR); rectal cancer; radiomics feature robustness; PET/MRI co-registration; image registration; fundus image; feature extraction; glomerular filtration rate; Gate's method; renal depth; computed tomography; computer-aided diagnosis; medical-image analysis; automated prostate-volume estimation; abdominal ultrasound images; image-patch voting; soft tissue sarcoma; volume estimation; artificial intelligence; Basal Cell Carcinoma; skin lesion; classification; colon; positron emission tomography-computed tomography; nuclear medicine; image pre-processing; high-level synthesis; X-ray pre-processing; pipelined architecture; n/a
• Acceso en línea: DOAB: download the publication; DOAB: description of the publication

Radiomics is one of the most successful branches of research in the field of image processing and analysis, as it provides valuable quantitative information for the personalized medicine. It has the potential to discover features of the disease that cannot be appreciated with the naked eye in both p...