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Titlebook: Head and Neck Tumor Segmentation and Outcome Prediction; Second Challenge, HE Vincent Andrearczyk,Valentin Oreiller,Adrien Depeu Conference

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51#
發(fā)表于 2025-3-30 10:29:17 | 只看該作者
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發(fā)表于 2025-3-30 12:50:22 | 只看該作者
,Automatic Head and?Neck Tumor Segmentation and?Progression Free Survival Analysis on?PET/CT Images,t scales, we proposed a dynamic scale attention mechanism that incorporates low-level details with high-level semantics from feature maps at different scales. Radiomic features were extracted from the segmented tumors and used for PFS prediction. Our segmentation framework was trained using the 224
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發(fā)表于 2025-3-30 18:06:23 | 只看該作者
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發(fā)表于 2025-3-30 21:59:45 | 只看該作者
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發(fā)表于 2025-3-31 00:58:51 | 只看該作者
of meromixis have repeatedly been discussed in papers and reviews (e.g., Str?m, 1936; Findenegg, 1937; Hutchinson, 1937; Kjensmo, 1967; Walker and Likens, 1975; Degens and Stoffers, 1976; Hakala, 2004) and textbooks (e.g., Ruttner, 1940; Hutchinson, 1957; Wetzel, 2001; Kalff, 2002). A review of biol
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發(fā)表于 2025-3-31 07:07:17 | 只看該作者
57#
發(fā)表于 2025-3-31 13:08:29 | 只看該作者
Jiao Wang,Yanjun Peng,Yanfei Guo,Dapeng Li,Jindong Sunentially harmful to all living organisms, but especially to photosynthetic organisms due to their requirement for light. UVB represents less than 1% of the total solar radiation reaching the earth’s surface, because it is absorbed partly by the ozone layer. It is particularly this waveband, which is
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發(fā)表于 2025-3-31 13:45:05 | 只看該作者
59#
發(fā)表于 2025-3-31 18:54:36 | 只看該作者
Guoshuai Wang,Zhengyong Huang,Hao Shen,Zhanli Huch permit him to study five times more samples than methods achieving a certainty of 98% would permit, has made a wise choice. This is perhaps the most valuable idea to be presented in this paper. Consequently it has been placed at the beginning. It is also appropriate here because the methods and r
60#
發(fā)表于 2025-3-31 23:22:36 | 只看該作者
Minjeong Cho,Yujin Choi,Donghwi Hwang,Si Young Yie,Hanvit Kim,Jae Sung Lee set was shown. Follow-up studies indicate that these networks can be used as a basis for the establishment of neural network controllers. Possible developments of neural networks in the context of cultivation process modelling are also discussed.
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