Results 201 to 210 of about 35,621 (254)

A modular and flexible pipeline for intraoperative electrode reconstruction and localization in patients with brain lesions. [PDF]

Front Neural Circuits
Rabbani H, Das I, Mandal AS, Nelson T, Hadar P, Hsueh B, Ciordia R, Coughlin BF, Peng E, Cleary DR, Collins KL, Raslan AMT, Williams ZM, Choi BD, Cosgrove GR, Dayeh SA, Jones PS, Tiwana HK, Dunn GP, Richardson RM, Bi WL, Tobochnik S, Cash SS, Cahill DP, Paulk AC.   +24 more
europepmc   +1 more source

Exploring the potential of augmented reality in rehabilitation: a novel approach for post-stroke unilateral neglect. [PDF]

Front Sports Act Living
Yanzhen M, Yunhua R, Song C, Heqiong Z, Zufang Y, Wang A.   +5 more
europepmc   +1 more source

Reliability of a convolutional neural network in segmenting multiple sclerosis lesions from MRI: Impact of data augmentation, image modality and tolerance with U-Net architecture. [PDF]

PLOS Digit Health
Szekely-Kohn AC, Castellani M, Baronti L, Ahmed Z, Manifold WGK, Douglas M, Espino DM.   +6 more
europepmc   +1 more source

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Script-Independent Text Line Segmentation in Freestyle Handwritten Documents

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
Text line segmentation in freestyle handwritten documents remains an open document analysis problem. Curvilinear text lines and small gaps between neighboring text lines present a challenge to algorithms developed for machine printed or hand-printed documents. In this paper, we propose a novel approach based on density estimation and a state-of-the-art
Yefeng Zheng, Stefan Jaeger
exaly   +3 more sources

Text Line Segmentation: A FCN Based Approach

2021
Text line segmentation is a prerequisite for most of the document processing systems. However, for handwritten/warped documents, it is not straightforward to segment the text lines. This work proposes a learning-based text line segmentation method from document images.
Annie Minj, Arpan Garai, Sekhar Mandal
openaire   +1 more source

Handwritten Text Line Segmentation by Shredding Text into its Lines

2009 10th International Conference on Document Analysis and Recognition, 2009
In this paper, we propose a novel technique to segment handwritten document images into text lines by shredding their surface with local minima tracers. Our approach is based on the topological assumption that for each text line, there exists a path from one side of the image to the other that traverses only one text line.
Nicolaou A., Gatos B.
openaire   +1 more source