Results 321 to 330 of about 1,762,979 (356)

Differentiation and Segmentation

SSRN Electronic Journal, 2021
It is widely recognized that the EU that emerged from the financial and refugee crises of the last decade has become more differentiated. Such a development brings forth important questions about the nature and character of the EU as a political system, and the kinds of processes and mechanisms that drive its development.
Leruth, Benjamin, Gänzle, Stefan, Trondal, Jarle, Bátora, Jozef, Fossum, John Erik   +4 more
openaire   +2 more sources

Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

ECCV Workshops, 2021
In the past few years, convolutional neural networks (CNNs) have achieved milestones in medical image analysis. Especially, the deep neural networks based on U-shaped architecture and skip-connections have been widely applied in a variety of medical ...
Hu Cao, Yueyue Wang, Jieneng Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, Manning Wang   +6 more
semanticscholar   +1 more source

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

European Conference on Computer Vision, 2018
Spatial pyramid pooling module or encode-decoder structure are used in deep neural networks for semantic segmentation task. The former networks are able to encode multi-scale contextual information by probing the incoming features with filters or pooling
Liang-Chieh Chen, Yukun Zhu, G. Papandreou, Florian Schroff, Hartwig Adam   +4 more
semanticscholar   +1 more source

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

BrainLes@MICCAI, 2022
Semantic segmentation of brain tumors is a fundamental medical image analysis task involving multiple MRI imaging modalities that can assist clinicians in diagnosing the patient and successively studying the progression of the malignant entity. In recent
Ali Hatamizadeh, V. Nath, Yucheng Tang, Dong Yang, H. Roth, Daguang Xu   +5 more
semanticscholar   +1 more source

Segment-Forest for Segmentation

2014 22nd International Conference on Pattern Recognition, 2014
In this paper, we present a novel generalized Segment-Forest Model (SFM) to segment an object as well as label all the object's semantic parts simultaneously. Segment-Forest is composed by various generated segment trees that act directly on super pixels.
Haoqi Fan, Han Li
openaire   +2 more sources

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2016
This paper introduces a network for volumetric segmentation that learns from sparsely annotated volumetric images. We outline two attractive use cases of this method: (1) In a semi-automated setup, the user annotates some slices in the volume to be ...
Özgün Çiçek, A. Abdulkadir, S. Lienkamp, T. Brox, O. Ronneberger   +4 more
semanticscholar   +1 more source