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Titlebook: Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis; First International Andrew Melbourne,Roxa

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41#
發(fā)表于 2025-3-28 17:04:49 | 只看該作者
Robert A. Norman DO,Justin Endo M.D. to that from the original SRM. The average dice index is 0.79 for SRM and 0.85 for the adaptive kernel-based SRM. In addition, the proposed method was successful in segmenting all 37 CT images while SRM failed in 5 images.
42#
發(fā)表于 2025-3-28 21:18:52 | 只看該作者
LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Imagesperformed in the future. Our results show better alignment accuracy compared to “Self-Similarity Context descriptors”, a state-of-the-art method developed for multi-modal image registration. Furthermore, our method is robust and able to register highly misaligned images, with any initial orientation, where similarity-based methods typically fail.
43#
發(fā)表于 2025-3-29 00:01:40 | 只看該作者
Paediatric Liver Segmentation for Low-Contrast CT Images to that from the original SRM. The average dice index is 0.79 for SRM and 0.85 for the adaptive kernel-based SRM. In addition, the proposed method was successful in segmenting all 37 CT images while SRM failed in 5 images.
44#
發(fā)表于 2025-3-29 05:57:09 | 只看該作者
45#
發(fā)表于 2025-3-29 10:28:18 | 只看該作者
https://doi.org/10.1007/978-3-031-35579-0atural images improves detection accuracy. Also, we describe a patch extraction strategy which encodes different information into each input channel of the networks. We train and evaluate our approach on a dataset with 660 annotated bone lesions, and show how the resulting marker map high-lights lesions in computed tomography imaging data.
46#
發(fā)表于 2025-3-29 13:26:26 | 只看該作者
47#
發(fā)表于 2025-3-29 17:05:03 | 只看該作者
48#
發(fā)表于 2025-3-29 20:58:34 | 只看該作者
49#
發(fā)表于 2025-3-30 00:12:44 | 只看該作者
50#
發(fā)表于 2025-3-30 04:22:48 | 只看該作者
Conference proceedings 2018 the Third International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.. The 5 full papers presented at DATR
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