Evaluation of a multi-level, multi-parameter detection method for digestive system cancer diagnosis.

2015 ◽  
Vol 33 (15_suppl) ◽  
pp. e12578-e12578
Author(s):  
Yefan Zhang ◽  
Hong Zhao ◽  
Xinyu Bi ◽  
Zhen Huang ◽  
Jianqiang Cai ◽  
...  
Engineering ◽  
2021 ◽  
Author(s):  
Xiaofang Zhao ◽  
Youhai Jiang ◽  
Chunliang Liu ◽  
Minghui Hou ◽  
Hongyang Wang ◽  
...  

2017 ◽  
Vol Volume 10 ◽  
pp. 3625-3634 ◽  
Author(s):  
Cong Dai ◽  
Meng Wang ◽  
Jun Lu ◽  
Zhiming Dai ◽  
Shuai Lin ◽  
...  

2021 ◽  
Vol 7 (4) ◽  
pp. 117
Author(s):  
Linling Fang ◽  
Yingle Fan

<p>A biomimetic vision computing model based on multi-level feature channel optimization coding is proposed and applied to image contour detection, combining the end-to-end detection method of full convolutional neural network and the traditional contour detection method based on biological vision mechanism. Considering the effectiveness of the Gabor filter in perceiving the scale and direction of the image target, the Gabor filter is introduced to simulate the multi-level feature response on the visual path. The optimal scale and direction of the Gabor filter are obtained based on the similarity index, and they are used as the frequency separation parameter of the NSCT transform. The contour sub-image obtained by the NSCT transform is combined with the original image for feature enhancement and fusion to realize the primary contour response. The low-dimensional and low-redundancy primary contour response is used as the input sample of the network model to relieve network pressure and reduce computational complexity. A fully improved convolutional neural network model is constructed for multi-scale training, through feature encoder to feature decoder, to achieve end-to-end pixel prediction, and obtain a complete and continuous detection image of the subject contour. Using the BSDS500 atlas as the experimental sample, the average accuracy index is 0.85, which runs on the device CPU at a detection rate of 20+ FPS to achieve a good balance between training efficiency and detection effect.</p>


Work ◽  
2020 ◽  
Vol 66 (4) ◽  
pp. 901-907
Author(s):  
Sietske J. Tamminga ◽  
Lyanne P. Jansen ◽  
Monique H.W. Frings-Dresen ◽  
Angela G.E.M. de Boer

BACKGROUND: Accumulating evidence suggests that cancer survivors are able to return to work. However, little is known about their work situation 5 years after diagnosis. OBJECTIVE: To explore fluctuations in employment status and its association with quality of life 2, 3, and 5 years after cancer diagnosis of 65 cancer survivors employed at diagnosis. METHODS: In association with a randomised controlled trial (RCT), questionnaires were administrated to eligible cancer survivors at diagnosis, 2, 3, and 5 years thereafter comprising of validated questionnaires related to work (i.e. Work Ability Index (WAI), cancer, and quality of life (QOL) (i.e. SF-36, VAS QOL). The RCT studied a hospital-based work support intervention in female breast and gynaecological cancer survivors who were treated with curative intent and had paid work at diagnosis. Descriptive statistics and longitudinal multi-level analysis were employed. RESULTS: Sixty-five of the 102 eligible cancer survivors participated, who were primarily diagnosed with breast cancer (63%). Two and 5 years after cancer diagnosis respectively 63 (97%) and 48 (81%) participants were employed. Reasons for not being employed after 5 years included receiving unemployment benefits (7%), voluntary unemployment (3%), receiving disability benefits (3%), and early retirement (3%). Longitudinal multi-level analysis showed that employed cancer survivors reported in general statistically significant better quality of life outcomes at 5 years follow-up compared to those not being employed. CONCLUSIONS: We found high employment rates and few fluctuations in employment status. The steepest decline in employment rate occurs after the first two years of diagnosis. Employed participants reported better quality of life outcomes. Survivorship care should therefore focus on the population at risk possibly within the first two years after diagnosis.


PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e66865 ◽  
Author(s):  
Bo Zhou ◽  
Zhenshun Song ◽  
Mingping Qian ◽  
Liang Li ◽  
Jian Gong ◽  
...  

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