Results 331 to 340 of about 1,762,979 (356)

U-Net: Convolutional Networks for Biomedical Image Segmentation

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2015
There is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper, we present a network and training strategy that relies on the strong use of data augmentation to use the available ...
O. Ronneberger, P. Fischer, T. Brox
semanticscholar   +1 more source

Segmental Neurofibromatosis

Neurosurgery, 1987
Abstract Of the various forms of neurofibromatosis, the best known are peripheral neurofibromatosis (von Recklinghausen's disease) and central neurofibromatosis. There is a rare form called segmental neurofibromatosis, in which the cutaneous and neural changes are limited to one sector of the body and with which there is usually no ...
C E, Rawlings, R H, Wilkins, W A, Cook, P C, Burger   +3 more
openaire   +2 more sources

Page segmentation by segment tracing

Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93), 2002
A page segmentation method that allows one to cut a document page image into polygonal blocks as well as into classical rectangular blocks is described. The intercolumn and interparagraph gaps are extracted as horizontal and vertical lines. The points of intersection between these lines are treated as vertices of polygonal blocks. With the aid of the 4-
O.T. Akindele, Abdel Belaïd
openaire   +2 more sources

Linear segmentation and segment relevence

1998
We present a new method for discovering a segmental discourse structure of a document while categorizing each segment's function and importance. Segments are determined by a zero-sum weighting scheme, used on occurrences of noun phrases and pronominal forms retrieved from the document.
Judith L. Klanvas, Kathleen R. McKeown, Min-Yen Kan   +2 more
openaire   +2 more sources

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

arXiv.org
Convolutional Neural Networks (CNNs) and Transformers have been the most popular architectures for biomedical image segmentation, but both of them have limited ability to handle long-range dependencies because of inherent locality or computational ...
Jun Ma, Feifei Li, Bo Wang
semanticscholar   +1 more source

Segmentation

2007
Abstract Segmentation is something usually associated with marketing, where companies adjust the marketing mix to improve the appeal to different groups of customers. Similar concepts are used in credit, but not always for the same reasons.
openaire   +1 more source

Intonation segments and segmental intonation

Interspeech 2009, 2009
An acoustic analysis of a German dialogue corpus showed that the sound qualities and durations of fricatives, vocoids, and diphthongs at the ends of question and statement utterances varied systematically with the utterance-final intonation segments, which were high-rising in the questions and terminal-falling in the statements.
openaire   +2 more sources

VM-UNet: Vision Mamba UNet for Medical Image Segmentation

arXiv.org
In the realm of medical image segmentation, both CNN-based and Transformer-based models have been extensively explored. However, CNNs exhibit limitations in long-range modeling capabilities, whereas Transformers are hampered by their quadratic ...
Jiacheng Ruan, Suncheng Xiang
semanticscholar   +1 more source

Segmental Modeling for Audio Segmentation

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007
Trainable speech/non-speech segmentation and music detection algorithms usually consist of a frame based scoring phase combined with a smoothing phase. This paper suggests a framework in which both phases are explicitly unified in a segment based classifier.
openaire   +2 more sources

Segmented blockcopolymers with uniform amide segments

Polymer, 2004
Segmented blockcopolymers based on poly(tetramethylene oxide) (PTMO) soft segments and uniform crystallisable tetra-amide segments (TxTxT) are made via polycondensation. The PTMO soft segments, with a molecular weight of 1000 g/mol, are extended with terephthalic groups to a molecular weight of 6000 g/mol.
Reinoud J. Gaymans, D. Husken, J. Krijgsman   +2 more
openaire   +3 more sources