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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Automated RECIST tumor re" (7 stories)

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Automated RECIST tumor response classification through prompt-guided large language models
Lead StoryNaturegeneral
May 27

Automated RECIST tumor response classification through prompt-guided large language models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9jRGZVSUlVVmdDT2tmeWRSUVJKS3pJVjdKVW1ZUk14cFpHT3ZSRFZoN1NmSjBkV09yU3RLUEVBUFAzcEdCYWp4SnNzRG8zWmRUZGlBUHhHdzRLYmhEbGFz?oc=5" target="_blank">Automated RECIST tumor response classification through prompt-guided large language models</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Automated RECIST tumor re"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

6 stories displayed
A CT Dataset with RECIST Measurements and Comprehensive Segmentation Masks for Tumors and Lymph Nodes
Naturegeneral

A CT Dataset with RECIST Measurements and Comprehensive Segmentation Masks for Tumors and Lymph Nodes

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE01dEJ1VXRBSmcyOVd3N0tXSTVBbHpfVzE4V2ZLd1N0ZjhQRHZ0WTVienpMdWh2dHB2YUVYdEkzTEhSek1YZEFlMTdYSFp4SWF3dm9xcUxfWW95U2NoNVZz?oc=5" target="_blank">A CT Dataset with RECIST Measurements and Comprehensive Segmentation Masks for Tumors and Lymph Nodes</a>  <font color="#6f6f6f">Nature</font>

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Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases
RSNA Journalsgeneral

Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases

<a href="https://news.google.com/rss/articles/CBMiXkFVX3lxTFBSRDY4UWxPRGxFYTl4d0pwT2lTMlhDazhsaTh3dEtKQlQwb0ZaMEdYWmN1ekhzUUYxRy1TU3p3QjZ3QkdBUFR4VFdEMHVhTzZ2VHFkUFI2SUVTQlkweEE?oc=5" target="_blank">Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases</a>  <font color="#6f6f6f">RSNA Journals</font>

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A Primer on RECIST 1.1 for Oncologic Imaging in Clinical Drug Trials
RSNA Journalsgeneral

A Primer on RECIST 1.1 for Oncologic Imaging in Clinical Drug Trials

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5KcndqNGR5NDlSQVBITDVfY3BINVdzdzQ4OFV3T3hIQk9nRjlnck5VVFNxTl9zMTgyclJDcTh0QXJxLVZtUjdsY05TQm41d1hHTVlLM2s5dWlVd1lVT1AwdjFJc3A?oc=5" target="_blank">A Primer on RECIST 1.1 for Oncologic Imaging in Clinical Drug Trials</a>  <font color="#6f6f6f">RSNA Journals</font>

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Deep learning for oncologic treatment outcomes and endpoints evaluation from CT scans in liver cancer
Naturegeneral

Deep learning for oncologic treatment outcomes and endpoints evaluation from CT scans in liver cancer

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE14VVdMN3Zwd19ZNVR6cXdUQ1FXUTJteHhHUFNCMmlOaWg3ZlJETGtpNjNxRHRSWHF4R1gwNERibG51MmZySll6LVh6NElhRnRQc2xqdHNTMEo3bVRMLXlz?oc=5" target="_blank">Deep learning for oncologic treatment outcomes and endpoints evaluation from CT scans in liver cancer</a>  <font color="#6f6f6f">Nature</font>

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Automated detection and segmentation of non-small cell lung cancer computed tomography images
Natureworld

Automated detection and segmentation of non-small cell lung cancer computed tomography images

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB6UWh4dUNYMEdCZHAyTmxPV05pX0tPMWNTWTRNV0doaENDblhOZEFFZ3ZGdGt4NVAzRWswWXQ3dnlKblVrSkcwOExLanJqWTlZY0pkSVJyUVlOVXo1Z0Ew?oc=5" target="_blank">Automated detection and segmentation of non-small cell lung cancer computed tomography images</a>  <font color="#6f6f6f">Nature</font>

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Empirical evaluation of artificial intelligence distillation techniques for ascertaining cancer outcomes from electronic health records
Naturetech

Empirical evaluation of artificial intelligence distillation techniques for ascertaining cancer outcomes from electronic health records

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ORHBwNnJ5ZjF3ZTZ1TUt4YjJsdm5ZSV90ZFY1anI0QW8wa1JnZ3h1dmRLcDA2MUlxX1NsMVl6ckpSNnVveXJOcGxGX3BOWmVuLWVlY2tndG5jdzJEQUlR?oc=5" target="_blank">Empirical evaluation of artificial intelligence distillation techniques for ascertaining cancer outcomes from electronic health records</a>  <font color="#6f6f6f">Nature</font>

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