Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patients
M Blendowski, MP Heinrich - … journal of computer assisted radiology and …, 2019 - Springer
Purpose Deep convolutional neural networks in their various forms are currently achieving
or outperforming state-of-the-art results on several medical imaging tasks. We aim to make …
or outperforming state-of-the-art results on several medical imaging tasks. We aim to make …
An adaptive and asymmetric residual hash for fast image retrieval
S Cheng, L Wang, A Du - IEEE Access, 2019 - ieeexplore.ieee.org
Hashing algorithm has attracted great attention in recent years. In order to improve the query
speed and retrieval accuracy, this paper proposes an adaptive and asymmetric residual …
speed and retrieval accuracy, this paper proposes an adaptive and asymmetric residual …
[PDF][PDF] Deep learning feature based medical image retrieval for large-scale datasets
Automated content based methods for retrieval of similar images serve as efficient
management tools for handling large amounts of data. In medical imaging, they can also be …
management tools for handling large amounts of data. In medical imaging, they can also be …