Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : 4th International Workshop, Dlmia 2018, and 8th International Workshop, Ml-cds 2018, Held in Conjunction with Miccai 2018, Granada, Spain, September 20, 201...
Overview
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : 4th International Workshop, Dlmia 2018, and 8th International Workshop, Ml-cds 2018, Held in Conjunction with Miccai 2018, Granada, Spain, September 20, 201... is a scientific journal, published by Springer since 2018 in English. The journal's country of origin is Switzerland.
Details
Details
Abbr.
Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018)
Publisher
Springer
Start
2018
Country
Switzerland
Language
English
Recent Articles
1.
Zhou Z, Siddiquee M, Tajbakhsh N, Liang J
Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018)
. 2020 Jul;
11045:3-11.
PMID: 32613207
In 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...
2.
Xu Z, Shen Z, Niethammer M
Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018)
. 2019 Jun;
11045:92-100.
PMID: 31236544
Semantic segmentation for 3D medical images is an important task for medical image analysis which would benefit from more efficient approaches. We propose a 3D segmentation framework of cascaded fully...
3.
Pace D, Dalca A, Brosch T, Geva T, Powell A, Weese J, et al.
Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018)
. 2019 Jun;
11045:334-342.
PMID: 31172133
We propose a new iterative segmentation model which can be accurately learned from a small dataset. A common approach is to train a model to directly segment an image, requiring...
4.
Xiang L, Li Y, Lin W, Wang Q, Shen D
Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018)
. 2019 Mar;
11045:155-164.
PMID: 30854517
Cross-modality synthesis can convert the input image of one modality to the output of another modality. It is thus very valuable for both scientific research and clinical applications. Most existing...
5.
Lamash Y, Kurugol S, Warfield S
Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018)
. 2018 Nov;
11045:218-226.
PMID: 30450491
We propose a 3D residual convolutional neural network (CNN) algorithm with an integrated distance prior for segmenting the small bowel lumen and wall to enable extraction of pediatric Crohns disease...
6.
Sourati J, Gholipour A, Dy J, Kurugol S, Warfield S
Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018)
. 2018 Nov;
11045:83-91.
PMID: 30450490
Deep learning with convolutional neural networks (CNN) has achieved unprecedented success in segmentation, however it requires large training data, which is expensive to obtain. Active Learning (AL) frameworks can facilitate...