Resultados de búsqueda - Graphics processing units

The role of ETSI in the EU's regulation and governance of artificial intelligence. por Gamito, Marta Cantero

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Facile Conversion and Optimization of Structured Illumination Image Reconstruction Code into the GPU Environment. por Oh, Kwangsung, Bianco, Piero R.

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Super-resolution radial fluctuations (SRRF): a versatile and accessible tool for live-cell nanoscopy. por Fang, Sanhua, Liu, Li, Yang, Dan, Liu, Shuangshuang, Huang, Qiong

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Prediction of Malignancy and Pathological Types of Solid Lung Nodules on CT Scans Using a Volumetric SWIN Transformer. por Chen, Huicong, Wen, Yanhua, Wu, Wensheng, Zhang, Yingying, Pan, Xiaohuan, Guan, Yubao, Qin, Dajiang

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Large multimodality model fine-tuned for detecting breast and esophageal carcinomas on CT: a preliminary study. por Yasaka, Koichiro, Kawamura, Motohide, Sonoda, Yuki, Kubo, Takatoshi, Kiryu, Shigeru, Abe, Osamu

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Automated anonymization of radiology reports: comparison of publicly available natural language processing and large language models. por Langenbach, Marcel C., Foldyna, Borek, Hadzic, Ibrahim, Langenbach, Isabel L., Raghu, Vineet K., Lu, Michael T., Neilan, Tomas G., Heemelaar, Julius C.

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The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports. por Kanemaru, Noriko, Yasaka, Koichiro, Fujita, Nana, Kanzawa, Jun, Abe, Osamu

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Deep Learning for Automated Classification of Hip Hardware on Radiographs. por Ma, Yuntong, Bauer, Justin L., Yoon, Acacia H., Beaulieu, Christopher F., Yoon, Luke, Do, Bao H., Fang, Charles X.

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Dual-Tree Complex Wavelet Pooling and Attention-Based Modified U-Net Architecture for Automated Breast Thermogram Segmentation and Classification. por Garia, Lalit, Muthusamy, Hariharan

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Predicting Pathological Characteristics of HER2-Positive Breast Cancer from Ultrasound Images: a Deep Ensemble Approach. por Chen, Zhi-hui, Zha, Hai-ling, Yao, Qing, Zhang, Wen-bo, Zhou, Guang-quan, Li, Cui-ying

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Artificial intelligence in abdominal and pelvic ultrasound imaging: current applications. por Cai, Lie, Pfob, André

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DELR-Net: a network for 3D multimodal medical image registration in more lightweight application scenarios. por Deng, Liwei, Lan, Qi, Yang, Xin, Wang, Jing, Huang, Sijuan

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Perspectives on Becoming an Applied Machine Learning Scientist. por Rasiwasia, Nikhil

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Could Robots Become Religious? Theological, Evolutionary, and Cognitive Perspectives. por Dorobantu, Marius

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산부인과 교육에서의 인공지능 활용 가능성: 대형 언어 모델의 잠재력과 전망 por Eoh, Kyung Jin

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A Pathway to Certifying Adaptive Skill Sets For Radiation Therapists. por Chambers, Eric, Wallace, Catherine

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Automatic machine learning accurately predicts the efficacy of immunotherapy for patients with inoperable advanced non-small cell lung cancer using a computed tomography-based radi... por Lin, Siyun, Ma, Zhuangxuan, Yao, Yuanshan, Huang, Hou, Chen, Wufei, Tang, Dongfang, Gao, Wen

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Artificial intelligence in musculoskeletal applications: a primer for radiologists. por Tong, Michelle W., Zhou, Jiamin, Akkaya, Zehra, Majumdar, Sharmila, Bhattacharjee, Rupsa

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Automated abdominal organ segmentation algorithms for non-enhanced CT for volumetry and 3D radiomics analysis. por Park, Junghoan, Joo, Ijin, Jeon, Sun Kyung, Kim, Jong-Min, Park, Sang Joon, Yoon, Soon Ho

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Scanner-based real-time three-dimensional brain + body slice-to-volume reconstruction for T2-weighted 0.55-T low-field fetal magnetic resonance imaging. por Uus, Alena, Neves Silva, Sara, Aviles Verdera, Jordina, Payette, Kelly, Hall, Megan, Colford, Kathleen, Luis, Aysha, Sousa, Helena, Ning, Zihan, Roberts, Thomas, McElroy, Sarah, Deprez, Maria, Hajnal, Joseph, Rutherford, Mary, Story, Lisa, Hutter, Jana

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