chronicle
发表于 2025-3-28 16:30:43
Pseudolesions in the Cirrhotic Liverence (THAD)/transient hepatic intensity difference (THID), hemangiomas in a cirrhotic liver, pseudomass in chronic portal vein thrombosis (PVT), confluent fibrosis and focal fatty changes, such as focal steatosis and fat sparing, focusing on imaging features helpful in achieving a correct diagnosis.
MONY
发表于 2025-3-28 19:39:22
Book 2021nd post-treatment changes. The authors are world-leading experts in the field, and the book will be an ideal reference for all members of the radiology community, from residents to experts. It will also aid clinicians during their daily practice..
SHRIK
发表于 2025-3-28 23:34:54
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易发怒
发表于 2025-3-29 04:55:37
Transarterial 90Yttrium Radioembolisationroaggregated albumin particles, which approximate the size of microspheres, is used to identify the shunting of microparticles to the lungs or the gastrointestinal tract, thus helping in patient selection.
裤子
发表于 2025-3-29 08:27:42
Hepatocellular Carcinoma: Diagnostic Guidelinestrast-enhanced approaches, main and secondary criteria, vocabulary, ontology, terminology and pitfalls will be discus and highlighted. The structured standardized radiology reporting and radiomics quantitative information will be also highlighted.
objection
发表于 2025-3-29 13:47:15
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Countermand
发表于 2025-3-29 19:23:09
Imaging of Treated Liver Tumors and Assessment of Tumor Response to Cytostatic Therapy and Post-Treaugs and interventional-radiological procedures for tumor ablation. Imaging assessment remains the milestone to evaluate the tumor response to any kind of therapy, but these new locoregional treatments can lead to change in imaging that makes very challenging to identify residual or recurrent disease.
LAST
发表于 2025-3-29 21:45:22
,Investigating the Predictive Reproducibility of Federated Graph Neural Networks Using Medical Datasets,here they displayed a high accuracy in diagnosing challenging neurological disorders such as autism. In the face of medical data scarcity and high-privacy, training such data-hungry models remains challenging. Federated learning brings an efficient solution to this issue by allowing to train models
TERRA
发表于 2025-3-30 00:35:25
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表否定
发表于 2025-3-30 06:59:54
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