Resultados de búsqueda - Classification algorithms

Classification of Caries Based on CBCT: A Deep Learning Network Interpretability Study. por Chen, Surong, Yang, Yan, Wu, Weiwei, Wei, Ruonan, Wang, Zezhou, Tay, Franklin R., Hu, Jingyu, Ma, Jingzhi

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CSAMDT: Conditional Self Attention Memory-Driven Transformers for Radiology Report Generation from Chest X-Ray. por Shahzadi, Iqra, Madni, Tahir Mustafa, Janjua, Uzair Iqbal, Batool, Ghanwa, Naz, Bushra, Ali, Muhammad Qasim

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Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability. por Mayfield, John D., Murtagh, Ryan, Ciotti, John, Robertson, Derrick, Naqa, Issam El

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AI-Assisted Detection of Interproximal, Occlusal, and Secondary Caries on Bite-Wing Radiographs: A Single-Shot Deep Learning Approach. por Karakuş, Rabia, Öziç, Muhammet Üsame, Tassoker, Melek

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The physical activity in cancer survivors (PACES) trial: a factorial randomized trial to optimize intervention for breast cancer survivors. por Rethorst, Chad D., Carmody, Thomas J., Argenbright, Keith E., Vazquez, Louis, DeLuca, Thomas, Mayes, Taryn L., Hamann, Heidi A., Trivedi, Madhukar H.

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AI for detection, classification and prediction of loss of alignment of distal radius fractures; a systematic review. por Oude Nijhuis, Koen D., Dankelman, Lente H. M., Wiersma, Jort P., Barvelink, Britt, IJpma, Frank F.A., Verhofstad, Michael H. J., Doornberg, Job N., Colaris, Joost W., Wijffels, Mathieu M.E.

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Molecular characteristics of tubo-ovarian carcinosarcoma at different anatomic locations. por Davidson, Ben, Holth, Arild, Lindemann, Kristina, Zahl Eriksson, Ane Gerda, Nilsen, Thale Andrea, Torgunrud, Annette

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Predictive modeling for identification of older adults with high utilization of health and social services. por Sourkatti, Heba, Pajula, Juha, Keski-Kuha, Teemu, Koivisto, Juha, Hilvo, Mika, Lähteenmäki, Jaakko

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Artificial intelligence: a primer for pediatric radiologists. por Straus Takahashi, Marcelo, Donnelly, Lane F., Siala, Selima

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Development and Performance Analysis of Machine Learning Methods for Predicting the Occurrence of Constipation and its Risk Factors Among College-aged Girls. por GHOSH, JOYETA, SANYAL, POULOMI

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Associations between sedentary types, sedentary patterns and cognitive ability in preschool children. por Li, Dan, Chia, Michael, Low, Seow Ting, Chua, Terence, Ma, Jiameng, Kim, Hyunshik, Zhang, Lifang, Tian, Lili, Li, Xianxiong

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Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices. por Jeong, Heejoon, Kim, Donghee, Kim, Dong Won, Baek, Seungho, Lee, Hyung-Chul, Kim, Yusung, Ahn, Hyun Joo

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Quantification of intratumoral heterogeneity using habitat-based MRI radiomics to identify HER2-positive, -low and -zero breast cancers: a multicenter study. por Chen, Haoquan, Liu, Yulu, Zhao, Jiaqi, Jia, Xiaoxuan, Chai, Fan, Peng, Yuan, Hong, Nan, Wang, Shu, Wang, Yi

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Self-Supervised Learning for Near-Wild Cognitive Workload Estimation. por Rafiei, Mohammad H., Gauthier, Lynne V., Adeli, Hojjat, Takabi, Daniel

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Molecular classification and adjuvant treatment in endometrioid endometrial cancer with microcystic elongated and fragmented (MELF) invasion pattern. por Jia, Peng, Zhang, Yan

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17th European Public Health Conference 2024: Sailing the Waves of European Public Health: Exploring a Sea of Innovation...November 12-15, 2024, Lisbon, Portugal por Mexia, Ricardo, Dias, Sónia, Marchandise, Charlotte

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Classification of Parkinson's disease severity using gait stance signals in a spatiotemporal deep learning classifier. por Muñoz-Mata, Brenda G., Dorantes-Méndez, Guadalupe, Piña-Ramírez, Omar

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A unified approach for Parkinson's disease recognition: imbalance mitigation and grid search optimized boosting with LightGBM. por Swain, Bhanja Kishor, Mohapatra, Subhashree, Mishra, Manohar, Sharma, Renu

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Session-independent subject-adaptive mental imagery BCI using selective filter-bank adaptive Riemannian features. por Meenakshinathan, Jayasandhya, Gupta, Vinay, Reddy, Tharun Kumar, Behera, Laxmidhar, Sandhan, Tushar

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Abnormal trial-to-trial variability in P300 time-varying directed eeg network of schizophrenia. por Yi, Chanlin, Li, Fali, Wang, Jiuju, Li, Yuqin, Zhang, Jiamin, Chen, Wanjun, Jiang, Lin, Yao, Dezhong, Xu, Peng, He, Baoming, Dong, Wentian

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