[PDF] Top 20 Semi-automatic method of preparing

... In the input subject string IV (See Sec 21, Step 4) the terms are replaced by the numerical code provided taken from the computer readable term-code dictionary (See sec 2 1 ).. At th[r] ... See full document

... avoid the misclassifications of the surrounding tissues, skin and scalp as WM or GM. By removing this object, non-brain tissues will be removed and, only soft tissues will remain in the image. Skull stripping was based ... See full document

... alternative semi-supervised method was added at this stage for comparison with the automatic ...from automatic segmentation were compared to the “ground truth” (GT) on a pixel ... See full document

... This method performs very well in telephone speech, and good for noisy telephone ...The method does show that better accuracy is achieved using 20 PLAR coefficients than using 20 MFCC ... See full document

... a semi- automatic method to generate question/answer pairs from a corpus of documents annotated in semantic frames, with the purpose of building a large training corpus for machine reading com- ... See full document

... was developed and compared to a conventional manual method. The semi-automatic method first aligns the serial PET/CT studies based on the CT images. Thereafter, the reader selects an abnormal ... See full document

... stretching method over a neighbourhood around the candidate pixel was used by Dorst [6] for local contrast stretching, then it was followed by several modifications [7]-[9] of histogram equalization based on ... See full document

... This method present a semi-automatic system that converts conventional videos into stereoscopic videos by combining motion analysis with user interaction, aiming to transfer as much as possible ... See full document

... of semi automatic wrapper introduction some of the unsupervised method are being used such as Roadrunner [4], Omni [5] is fully automatically extracting the data from the query result page based on ... See full document

... alternative method for this. This is less time consuming in this paper a semi-automatic method is used for brain tumor segmentation by MRI ... See full document

... a semi-automatic method for analysis and identification of morphometric features in two completely different environments, the Man and Biosphere Reserve “Eastern Carpathians” (Central Europe) in a ... See full document

... the method is applicable to the many biomedical imaging and biomechanical analysis of soft/ hard tissues such as mammography and cardiovascular ...a semi-automatic method to detect the ... See full document

... a method has been proposed for fiber bundle segmentation ...atlas-based method introducing a novel similarity based on PDD ’ s and spherical harmonic coef- ...proposed method overcomes limitations of ... See full document

... Our first method directly models observation a) in the previous section. Following Lin (1998), we model the similarity between entities using the dis- tributional hypothesis, which states that similar terms tend ... See full document

... In their work, road centerline of any orientation is extracted with moderate curvature successfully. But it fails if roads with shadow [17]. Shukla et al introduced a new algorithm for road extraction from high ... See full document

... is automatic labeling of unlabeled data for preparing a large amount of annotated training examples, and the other is semi-supervised learning for making use of both labeled and unlabeled data during ... See full document

... dated method of manual slurry filling on Godrej safe for fire proofing the safe as a major defined ...that method by “SEMIAUTOMATIC SLURRY FILLING METHOD FOR FIRE PROOFING ... See full document

... the automatic parse of a sentence. Since the automatic parse is often at least partially incor- rect, the constituent count of the parser will typ- ically be just an estimate of the actual constituent count ... See full document

... By using semi automatic process, we extract web data tables and filtering can be done by using cosine similarity measure.. Finally the valid documents in XML are retrieved by s[r] ... See full document

... a method for bootstrapping a large-scale lexical resource for a new ...Our method involves defining semantic axes, choosing a num- ber of seed words for each axis, and creating a number of emotion-evoking ... See full document