분류 전체보기324 [2024-2] 백승우 - VoxelMorph: A Learning Framework for Deformable Medical Image Registration VoxelMorph: A Learning Framework for Deformable Medical Image RegistrationWe present VoxelMorph, a fast learning-based framework for deformable, pairwise medical image registration. Traditional registration methods optimize an objective function for each pair of images, which can be time-consuming for large datasets or rich defoarxiv.org0. AbstractVoxelMorph은 변형 가능한 pair별 의료 image registration을 .. 2024. 11. 7. [2024-2] 백승우 - (RAG) Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks Retrieval-Augmented Generation for Knowledge-Intensive NLP TasksLarge pre-trained language models have been shown to store factual knowledge in their parameters, and achieve state-of-the-art results when fine-tuned on downstream NLP tasks. However, their ability to access and precisely manipulate knowledge is still limarxiv.org0. AbstractPretrained LLM은 사실의 지식을 매개변수에 저장하고, downstream NLP 작업에서 미.. 2024. 11. 3. [2024-2] 김경훈 - VoxelMorph : A Learning Framework for Deformable Medical Image Registration Link : https://arxiv.org/abs/1809.05231 VoxelMorph: A Learning Framework for Deformable Medical Image RegistrationWe present VoxelMorph, a fast learning-based framework for deformable, pairwise medical image registration. Traditional registration methods optimize an objective function for each pair of images, which can be time-consuming for large datasets or rich defoarxiv.org 0. Abstract 기.. 2024. 9. 10. [2024-2] 김경훈 - UNet++ : A Nested U-Net Architecture for Medical Image Segmentation Link : https://arxiv.org/abs/1807.10165 UNet++: A Nested U-Net Architecture for Medical Image SegmentationIn this paper, we present UNet++, a new, more powerful architecture for medical image segmentation. Our architecture is essentially a deeply-supervised encoder-decoder network where the encoder and decoder sub-networks are connected through a series of nesarxiv.org 이번 포스팅은 객체를 인식하는 방법 중 .. 2024. 9. 5. 이전 1 ··· 60 61 62 63 64 65 66 ··· 81 다음
