exclusice 发表于 2025-3-30 09:46:46
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The Automated Learning of Deep Features for Breast Mass Classification from Mammograms,cation results, compared with the machine learning model using hand-crafted features and with deep learning method trained directly for the classification stage without the pre-training stage. We also show that the proposed method produces the current state-of-the-art breast mass classification resu直觉好 发表于 2025-3-30 19:08:30
Multimodal Deep Learning for Cervical Dysplasia Diagnosis,vical dysplasia with 87.83 % sensitivity at 90 % specificity on a large dataset, which significantly outperforms methods using any single source of information alone and previous multimodal frameworks.横条 发表于 2025-3-30 21:02:07
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0302-9743 n and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR imageanalysis.978-3-319-46722-1978-3-319-46723-8Series ISSN 0302-9743 Series E-ISSN 1611-3349neuron 发表于 2025-3-31 05:53:45
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Kevis-Kokitsi Maninis,Jordi Pont-Tuset,Pablo Arbeláez,Luc Van Gooles; and Node 3, lighthouse schools, involved systemic change and leadership opportunities that adapted, demonstrated, and disseminated tested ideas, resources, and strategies to a much broader education community and attempted 978-94-6091-506-2冒烟 发表于 2025-3-31 20:54:37
Luyan Liu,Qian Wang,Ehsan Adeli,Lichi Zhang,Han Zhang,Dinggang Shen显赫的人 发表于 2025-3-31 22:39:37
Brent C. Munsell,Guorong Wu,Yue Gao,Nicholas Desisto,Martin Styner