scholarly journals An Intestinal Centerline Extraction Algorithm Based on Federated Framework

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaodong Wang ◽  
Zhe’nan He ◽  
Ying Wang ◽  
Linlin Dang ◽  
Weifang Han ◽  
...  
Keyword(s):  
Single Point ◽  
Data Distribution ◽  
Clinical Applications ◽  
Accurate Diagnosis ◽  
Training Method ◽  
Single Institution ◽  
Distributed Training ◽  
Centerline Extraction ◽  
Extraction Algorithm ◽  
Sample Data

The intestine is an important organ of the human body, and its internal structure always needs to be observed in clinical applications so as to provide a basis for accurate diagnosis. However, due to the limited intestinal data obtained by a single institution, deep learning cannot effectively train the intestines, and the effect is not satisfied. For this reason, we propose a distributed training method to carry out federated learning to alleviate the situation of patient sample data shortage, not shared and uneven data distribution. And the blockchain is introduced to enhance the interaction between networks, to solve the problem of a single point of failure of the federated learning server. Fully excavate the multiscale features of samples, to construct a fusion enhancement model and intestinal segmentation module for accurate positioning. At the local end, the centerline extraction algorithm is optimized, with the edge as the main and the source as the auxiliary to realize centerline extraction.

THE ATTACKERS POWER BOUNDARIES FOR TRACEABILITY OF ALGEBRAIC GEOMETRIC CODES ON SPECIAL CURVES

2021 ◽  
pp. 55-74
Author(s):  
V. M. Deundyak ◽  
◽  
D. V. Zagumennov ◽  
◽  
Keyword(s):  
Distributed Storage ◽  
Single Point ◽  
Data Distribution ◽  
Error Correcting Codes ◽  
Equivalence Classes ◽  
Broadcast Encryption ◽  
Network Data ◽  
Distributed Data ◽  
Algebraic Geometric Codes ◽  
Geometric Codes

Broadcast encryption is a data distribution protocol which can prevent malefactor parties from unauthorized accessing or copying the distributed data. It is widely used in distributed storage and network data protection schemes. To block the socalled coalition attacks on the protocol, classes of error-correcting codes with special properties are used, namely c-FP and c-TA properties. We study the problem of evaluating the lower and the upper boundaries on coalition power, within which the algebraic geometry codes possess these properties. Earlier, these boundaries were calculated for single-point algebraic-geometric codes on curves of the general form. Now, we clarified these boundaries for single-point codes on curves of a special form; in particular, for codes on curves on which there are many equivalence classes after factorization by equality of the corresponding points coordinates relation.

scholarly journals Pengaruh Latihan Squat Thrust dan Throw Ball Medicine Terhadap Kemampuan Jauhnya Lemparan Chest Pass Bola Basket Ekstrakurikuler SMPN 22 Putri Hijau Bengkulu Utara

2020 ◽  
Vol 1 (2) ◽  
pp. 16-22
Author(s):  
Nuraini Nuraini ◽  
Tono Sugihartono ◽  
Ari Sutisyana
Keyword(s):  
Data Collection ◽  
Sample Selection ◽  
Test Method ◽  
Distributed Data ◽  
Direct Test ◽  
Training Method ◽  
Basketball Court ◽  
Sample Data ◽  
Comparison Groups ◽  
Improve Student Achievement

This study aims to determine the effect of Squat Thrust Training and Throw Ball Medicine on the Ability of the Throwing Basketball Chest Pass. This research was conducted on the basketball court of SMP Negeri 22 Putri Hijau North Bengkulu. in students who take basketball extracurricular. This study uses an experimental method, the design used is the design of one group pretest - posttest that is pretest before given treatment and posttest after being treated. The treatment given there are two forms of exercise namely Squat Thrust and Throw Ball Medicine. This design requires one group without comparison groups. The population in this study amounted to 25 students, sample selection using total sampling where the entire population was taken as a research sample. Data collection techniques in this study with the direct test method that is using the basketball throw test. Statistical prerequisite tests meet homogeneous requirements and normally distributed data based on statistical calculations obtained from the data t count = 8.803> t table = 2.064 with the level ? = 0.05. in the Test of the contribution of Squat Thrust and Throw ball medicine by 18.32% The results of this study indicate that there is an influence between squat thrust training and throw ball medicine on the ability of the extracurricular basketball chest throws of SMP Negeri 22 Putri Hijau North Bengkulu, so it can be concluded that Squat training Thrust and Throw Ball Medicine affect the distance of the chest pass and can be used as a training method to improve student achievement.

An Approach to Anatomic Contour Extraction of Vertebra CT Image Combining Contourlet Transform and PCNN

2012 ◽  
Vol 468-471 ◽  
pp. 318-323
Author(s):  
Jun Min Deng ◽  
Hai Yun Li ◽  
Hao Wu
Keyword(s):  
Neural Network ◽  
Ct Images ◽  
Clinical Applications ◽  
Contourlet Transform ◽  
Ct Image ◽  
Contour Extraction ◽  
Pulse Coupled Neural Network ◽  
Extraction Algorithm ◽  
Better Than

Methods：In this paper, a new anatomic contour extraction algorithm based on the contourlet transform and pulse-coupled neural network ( PCNN ) was presented. The contourlet transform is applied on the vertebra CT image firstly, using its multiscale and multidirectional characteristics to get the coefficients which can effectively capture the contours of an image and depict the contours sparsely. Then PCNN is utilized to extract contours from the contourlet approximation image. Finally, the contours of image are reconstructed by inverse contourlet transform.Results：The proposed algorithm is tested on vertebra CT images, and we get some encouraging results, which are better than those based on wavelet. Conclusions：In this paper, we extract the contours of vertebra correctly, which effectively represent multiscale and multidirectional singularities of an image. This proposed method is very significant for the clinical applications and medical researches.

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