Sagittal oblique MPR images of the rectosigmoid colon in a 65-year-old woman (BMI = 31.1) with T4b rectosigmoid colon cancer.ChiaoYun ChenJuiSheng HsuTweiShiun JawDengChyang WuMingChen Paul ShihChienHung LeeChaoHung KuoYiTing Chen
classified colon pathology images using AI, including normal, adenoma (probably mainly TA), and adenocarcinoma22. When classified using a recurrent neural network, the AUC of TA and adenocarcinoma was 0.964 and 0.975, respectively, slightly lower than the results of our study. Compared with ...
Finally, we comparatively evaluate CNNs on 170 breast and colon cancer images with pathologist-annotated nuclei, finding that both cellular and intercellular regions contribute to CNN accuracy. These results demonstrate the power of CNNs not only for histopathological classification, but also for cross...
respectively. Usually, order and position of command line options are arbitrary (i.e. they can appear anywhere). However, if options are mutually exclusive the rightmost appearance is used. This behaviour conforms to the standard evaluation rules of common Unix shells. ...
see documentation of module 'oflog'. In case the logging output should be written to file (optionally with logfile rotation), to syslog (Unix) or the event log (Windows) option--log-configcan be used. This configuration file also allows for directing only certain messages to a particular ou...
Foruzan AH, Chen YW (2016) Improved segmentation of low-contrast lesions using sigmoid edge model. Int J Comput Assist Radiol Surg 11(7):1267–1283 Article Google Scholar Wu W, Wu S, Zhou Z, Zhang R, Zhang Y (2017). 3D liver tumor segmentation in CT images using improved fuzzy C-...
The default behaviour should be preferred and theDCMDICTPATHenvironment variable only used when alternative data dictionaries are required. TheDCMDICTPATHenvironment variable has the same format as the Unix shellPATHvariable in that a colon (':') separates entries. On Windows systems, a semicolon (...
The loss function is differentiable with respect toΘand the FCN regression model is trained with the standard gradient-based backpropagation [68]. Denoteaithe input of the last layer for training imagexi. The derivative of (2) with respect ifaican be written as (assuming the sigmoid activatio...
For the segmentation U-Net, a sigmoid activation is used in the last layer while for the distance U-Net, a linear activation is applied. We use a combination of Dice loss and binary cross-entropy to train the segmentation U-Net, whereas a mean squared error loss function is used to ...
Determining the grade of colon cancer from tissue slides is a routine part of the pathological analysis. In the case of colorectal adenocarcinoma (CRA), grading is partly determined by morphology and degree of formation of glandular structures. Achi