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Titlebook: Innovationen und Innovationsmanagement im Gesundheitswesen; Technologien, Produk Mario A. Pfannstiel,Kristin Kassel,Christoph Rasch Book 20

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樓主: T-cell
11#
發(fā)表于 2025-3-23 11:37:03 | 只看該作者
Kristin Kasselesearch and clinical applications. Most existing cross-modality synthesis methods require large dataset of paired data for training, while it is often non-trivial to acquire perfectly aligned images of different modalities for the same subject. Even tiny misalignment (i.e., due patient/organ motion)
12#
發(fā)表于 2025-3-23 16:12:45 | 只看該作者
13#
發(fā)表于 2025-3-23 19:00:04 | 只看該作者
Anne Maria Busch,Renate Kratochvil,Christina Schweigerplays a vital role in biomedical image analysis. Recently, graph-based methods with a global optimization property have been developed and optimized for various medical imaging applications. Despite their widespread use, these require human experts to design transformations, image features, surface
14#
發(fā)表于 2025-3-24 00:55:20 | 只看該作者
15#
發(fā)表于 2025-3-24 04:31:54 | 只看該作者
16#
發(fā)表于 2025-3-24 10:15:12 | 只看該作者
17#
發(fā)表于 2025-3-24 14:12:46 | 只看該作者
18#
發(fā)表于 2025-3-24 15:24:43 | 只看該作者
19#
發(fā)表于 2025-3-24 22:38:56 | 只看該作者
Claudia M?llermore tangled in the prediction on a multiple-step horizon and consequently the task can be framed in different ways. For example, one can develop a single-step predictor to be used recursively along the forecasting horizon (recursive approach) or develop a multi-output model that directly forecasts
20#
發(fā)表于 2025-3-25 01:57:36 | 只看該作者
Eileen Doctor,Christoph Buck,Torsten Eymanntegories a wide range of NLP techniques discussed in book in terms of general machine learning paradigms. In this way, the majority of sections and chapters of the book can be naturally clustered into four classes: classification, sequence-based prediction, higher-order structured prediction, and se
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