Results 241 to 250 of about 43,701,639 (283)

EED-Astig: A Multimodal Dataset for Pediatric Astigmatism Severity Prediction. [PDF]

Sci Data
Liu H, Li S, Lv Y, Liu R, Hou X, Chen F, Liu Y, You J, Wang H, Liu S.   +9 more
europepmc   +1 more source

Quantitative morphological phenotyping of infection structures in cucumber downy mildew and powdery mildew. [PDF]

Front Plant Sci
Wu Y, Han Z.
europepmc   +1 more source

FreqMamba-Net: a frequency-enhanced state space model for fine-grained mucosal lesion segmentation in colonoscopy. [PDF]

Front Oncol
Zhang P, Chen S, Liu X, Wu L, Zhang Y.
europepmc   +1 more source

Explainable pulmonary fibrosis detection using edge-strengthened dilated holistic edge detection-based lung segmentation and ResNet-V2 classification. [PDF]

Front Artif Intell
Mahapackialakshmi K, Jaffino G.
europepmc   +1 more source

A modular deep learning pipeline for standardised analysis of pelvic ultrasound images for gynaecology

Adams G, Brightmore L, Barcroft J, Cooper N, Timpson A, Saso S, Getreu N, O’Neill HC.   +7 more
europepmc   +1 more source

Text line segmentation from struck-out handwritten document images [PDF]

Expert Systems With Applications, 2022
In the case of freestyle everyday handwritten documents, writing, erasing, striking out, and overwriting are common behaviors of the writers. This not cleanly-written text poses significant challenges for text line seg-mentation.
Shivakumara Palaiahnakote, Apostolos Antonacopoulos, Umapada Pal   +2 more
exaly   +4 more sources

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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   +2 more sources

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   +2 more sources

Influence of text line segmentation in Handwritten Text Recognition

2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015
Text line segmentation is the process by which text lines in a document image are localized and extracted. It is an important step in off-line Handwritten Text Recognition (HTR) given that the input of these systems is the line image of the text to be transcribed.
Verónica Romero 0001, Joan-Andreu Sánchez, Vicente Bosch, Katrien Depuydt, Jesse de Does   +4 more
openaire   +1 more source

On-line text/drawings segmentation of handwritten patterns

Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93), 2002
A simple and fast segmentation of text and line drawings which exploits the characteristics of online handwritten patterns is presented. Many attempts have been made on text/figure segmentation in offline research, but none in online. In online environment, mode selection is easily employed to input characters and drawings commongly.
Kimiyoshi Machii, Hidehiro Fukushima, Masaki Nakagawa   +2 more
openaire   +1 more source