intellispace discovery platform isd (Philips Healthcare)
86
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Philips Healthcare
intellispace discovery platform isd
Intellispace Discovery Platform Isd, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/intellispace+discovery/discovery+intellispace/pm41820881-84-21-26
Average 86 stars, based on 1 article reviews
Intellispace Discovery Platform Isd, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/intellispace+discovery/discovery+intellispace/pm41820881-84-21-26
Average 86 stars, based on 1 article reviews
intellispace discovery platform isd - by Bioz Stars,
2026-09
86/100 stars
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other:Article Title: Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network. Article Snippet: The resulting model for cervical head and neck LN segmentation was available as prototype in Article Title: Image annotation and curation in radiology: an overview for machine learning practitioners Article Snippet: Examples are Siemens Healthineers (Erlangen, Germany) with the Article Title: Development and validation of a model based on preoperative dual-layer detector spectral computed tomography 3D VOI-based quantitative parameters to predict high Ki-67 proliferation index in pancreatic ductal adenocarcinoma Article Snippet: DLCT images were imported into the Article Title: Automated Lymph Node Localization and Segmentation in Patients with Head and Neck Cancer: Opportunities and Limitations of Using a Generic AI Model Article Snippet: A foveal net (f-net) [ ] architecture was chosen for the 3D convolutional neuronal network [ ], which is available as a research prototype in Article Title: A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images Article Snippet: This was performed using a semiautomatic approach with subsequent Article Title: Automated Lymph Node Localization and Segmentation in Patients with Head and Neck Cancer: Opportunities and Limitations of Using a Generic AI Model. Article Snippet: A foveal net (f-net) [25] architecture was chosen for the 3D convolutional neuronal network [26], which is available as a research prototype in Biomarker Discovery:Article Title: Artificial Intelligence in Health Science: Innovations in Diagnosis and Treatment Article Snippet: Machine learning algorithms are trained with imaging modalities like CT, MRI, ultrasound, pathology, fundus, and endoscopy in order to categorise the severity of the disease.8,16-22 After analysing 466 small polyps, the real-time colonoscopy equipment with the machine learning system achieved a negative predictive value of 96% and a diagnosis accuracy of 94%.23,24 Because of their consistent high performance in visual pattern recognition, convolutional neural networks—one kind of deep learning—have demonstrated potential for use in medical image analysis.To aid in chest CT diagnosis, Siemens Healthineers has created AI-Rad Companion Chest CT software26, and GE Healthcare is likewise developing medical image analysis technology based on AI. .. |