Epson TM-T20II Drivers are included in the company’s Ready Print line. It is a receipt printer that offers a perfect combination of affordability and performance.

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This thermal printer is an ideal option for you who runs restaurants, low volume to medium volume retail shops, food-service providers, and so on. The unit is able to print receipts at almost 8 inches per second.

So, you do not have to be worried about a long line waiting to pay and get their receipts. Moreover, you will also be able to save up to 30% of paper usage.

Because the unit has a paper-saving functionality that allows you to reduce white space and text size.

The Epson TM-T20II Drivers also meet the standards of Energy Star. Means that the receipt printer uses less electricity and reduces your ecological impact.

Every single thing you need to set up the unit is already included in the box a CD with drivers, a starter paper roll, and power supply.

You need to separately buy a USB cable. But the receipt printer will most likely be compatible with a USB-B cable that you probably already have.

This receipt printer comes with reliability and durability that you expect from the Epson brand. The unit will last for years if you use it properly and normally.

The receipt printer is covered with a 2-year warranty from the company. So, if you find any problems or damages with the product, you are able to claim the guarantee.

The company will either replace it with a new one or refund your money.

USB interface standard and Ethernet interfaces are available. This receipt printer is compatible with Windows XP, Windows 2000, Windows Vista, Windows 7, Linux, and Mac OS X.

So, are you interested to have this receipt printer to support your business?

Epson TM-T20II Driver Installation for Windows

The Steps to Install Driver Printer for Windows:

1. You should download the driver printer first. Just click the download link on this website. It is better to download the driver in the ZIP or RAR file format.

2. Follow the instructions and make sure that the download process is complete. After that, you have to extract the files.

3. Find the Setup menu. Select the menu by right click on your mouse. You will see several options there. Choose the Run as Administrator option.

4. Read and follow the installation procedure carefully and click the Next button to continue to the installation process.

5. Click the Finish button by the time the installation process is complete.

6. That’s it! The printer driver installation is complete. You can try to operate the printer for printing, faxing, or scanning.

Epson TM-T20II Driver Installations for Mac OS

The Steps to Install Driver Printer for Mac OS:

1. You must download the driver printer first. We provide you with the link to download the driver on this website.

2. Click the link, follow the instructions, and download the driver in the ZIP or RAR file format.

3. Extract the file when the download process is complete.

4. Find the setup option on the menu and double click on the file.

5. You will see a pops up notification to select the printer connection options. Select the USB option and let the setup continues. Wait until the setup process is complete.

6. When the process is complete it means the printer is ready. You can test it by printing, faxing, or scanning files.

Epson TM T20II Software for Windows

Windows 10 32-bit, Windows 10 64-bit, Windows 8.1 32-bit, Windows 8.1 64-bit, Windows 8 32-bit, Windows 8 64-bit, Windows 7 32-bit, Windows 7 64-bit, Windows Vista 32-bit, Windows Vista 64-bit

Epson TM T20II Software for Mac OS X

Mac OS 10.5, Mac OS 10.6, Mac OS 10.7, Mac OS 10.8, Mac OS 10.11, Mac OS 10.12, Mac OS 10.13, Mac OS 10.14

Epson TM T20II Manual Download

Epson TM-T20II User’s Manual Hardware Download

Epson TM-T20II User’s Manual Software Download

Epson TM-T20II Setup Guide Download

Studierfenster^[1][2] is a free, non-commercial Open Science client/server-based Medical Imaging Processing (MIP) online framework. It offers capabilities, like viewing medical data (Computed Tomography (CT), Magnetic Resonance Imaging (MRI), etc.) in two-dimensional (2D) and three-dimensional space (3D) directly in a standard web browser, like Google Chrome, Mozilla Firefox, Safari or Microsoft Edge. Other functionalities are the calculation of Medical Metrics (Dice Score^[3] and Hausdorff distance^[4]), manual slice-by-slice outlining of structures in medical images (segmentation^[5][6]), manual placing of (anatomical) landmarks in medical image data, viewing medical data in Virtual Reality (VR) and a facial reconstruction and registration of medical data for Augmented Reality (AR).^[7]

Other features of Studierfenster are the automatic Cranial Implant Design with a neural network,^[8][9] the inpainting of Aortic Dissections^[10] with a Generative Adversarial Network(GAN)^[11][12] and an automatic aortic landmark detection with Deep Learning^[13] in Computed Tomography Angiography (CTA) scans.

Studierfenster is currently hosted on an server at the Graz University of Technology (TU Graz)^[14] in Styria, Austria.

History[edit]

Studierfenster (SF) was initiated within two Bachelor theses during the Summer Bachelor (SB) program of the Institute of Computer Graphics and Vision (ICG) at the Graz University of Technology, Austria, in cooperation with the Medical University of Graz (MedUni Graz), Austria, in 2018/2019.^[15][16]

The name Studierfenster (or StudierFenster) is German and can be translated to StudyWindow, whereby Window refers here to a browser window. The word Studierfenster is an adaption from the word Studierstube (Study Room), which was an Augmented Reality project at the Vienna University of Technology in Austria.^[17][18]

Architecture[edit]

Studierfenster is setup as a distributed application via a client–server model. The client side (front-end) consists of Hypertext Markup Language (HTML) and JavaScript. The front-end also uses the Web Graphics Library (WebGL) that is a Javascript Application Programming Interface (API) descending from the Open Graphics Library (OpenGL) ES 2.0 specification, which it still closely resembles. In contrast to OpenGL, WebGL allows for the rendering of 2D and 3D graphics in web browsers. This enables the use of graphics features known from stand-alone programs directly in web applications, supported by the processing power of the client-side Graphics Processing Unit (GPU).

The server side (back-end) handles client requests via C, C++ and Python.^[19] It interfaces to common Open Source libraries and software tools like the Insight Toolkit (ITK),^[20] the Visualization Toolkit (VTK),^[21] the X Toolkit (XTK)^[22] and Slice:Drop.^[23] The server communication is handled by AJAX requests^[24] were needed.

Studierfenster employs a Flask server. Coincidentally, Flask was created by Armin Ronacher an alumnus of the Graz University of Technology in Austria.^[25]

Features[edit]

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Dicom Browser[edit]

This allows client-side parsing a local folder with DICOM (Digital Imaging and Communications in Medicine^[26][27]) files. Afterwards, the whole folder can be converted to compressed .Nrrd (nearly raw raster data) files and downloaded as a single .zip file.

Nrrd is a library and file format for the representation and processing of n-dimensional raster data. It is intended to support scientific visualization and (medical) image processing applications.^[28] With the “Dicom Browser” of Studierfenster, it is possible to select specific Studies or Series, and only convert these.

File Converter[edit]

The 'File Converter' converts a medical volume file (e.g. a non-compressed .Nrrd file) to a compressed/binary .Nrrd file. After the conversion, the compressed .Nrrd file can be downloaded and used with the 'Medical 3D Viewer' for 2D and 3D visualization, and further image processing.

Metrics Module[edit]

This can calculate the Dice Similarity Coefficient (DSC) and Hausdorff Distance (HD) between two segmentation masks (in .nrrd format) in a standard web browser.

The resulting table has seven columns: the file names for both files used in the calculation, the calculated DSC, the calculated HD, the calculated directed HD for both directions and the information if image spacing was used in the calculation. The table can be sorted, is searchable and can be exported as a simple copy, an Excel export, a Comma-Separated Values (CSV) file or as a Portable Document Format (PDF).

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The Metrics Module has been used to compare manual anatomical segmentations of brain tumors^[29]

VR Viewer[edit]

The VR Viewer (or Medical VR Viewer) enables viewing (medical) data in Virtual Reality (VR) with devices like the Google Cardboard or the HTC Vive (via the WebVR App).^[30] For viewing the data in VR, it needs to be converted to the VTI (.vti) format, which can be done with open-source, multi-platform data analysis and visualization application ParaView^[31]

Critics[edit]

Studierfenster is not a certified medical product, it can only be used for educational, research, and informational purposes.

References[edit]

1. ^'Studierfenster'. Retrieved April 23, 2020.
2. ^Weber, Maximilian (October 17, 2019). 'A Client/Server-based Online Environment for the Calculation of Medical Segmentation Scores'. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2019. pp. 3463–3467. doi:10.1109/EMBC.2019.8856481. ISBN978-1-5386-1311-5. PMID31946624. S2CID199373900.
3. ^Dice, Lee R. (1945). 'Measures of the Amount of Ecologic Association Between Species'. Ecology. 26 (3): 297–302. doi:10.2307/1932409. JSTOR1932409.
4. ^Rockafellar, R. Tyrrell; Wets, Roger J-B (2005). Variational Analysis. Springer-Verlag. p. 117. ISBN3-540-62772-3.CS1 maint: discouraged parameter (link)
5. ^Linda G. Shapiro and George C. Stockman (2001): “Computer Vision”, pp 279–325, New Jersey, Prentice-Hall, ISBN0-13-030796-3
6. ^Barghout, Lauren, and Lawrence W. Lee. 'Perceptual information processing system.' Paravue Inc. U.S. Patent Application 10/618,543, filed July 11, 2003.
7. ^Gsaxner, Christina; Pepe, Antonio; Wallner, Jürgen; Schmalstieg, Dieter; Egger, Jan (2019). Shen, Dinggang; Liu, Tianming; Peters, Terry M.; Staib, Lawrence H.; Essert, Caroline; Zhou, Sean; Yap, Pew-Thian; Khan, Ali (eds.). 'Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery'. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science. Cham: Springer International Publishing. 11768: 236–244. doi:10.1007/978-3-030-32254-0_27. ISBN978-3-030-32254-0.
8. ^Li, Jianning. 'Deep Learning for Cranial Defect Reconstruction'. Master Thesis, Institute of Computer Graphics and Vision, Graz University of Technology, Austria, pp. 1-68, January 2020.
9. ^Li, Jianning; Pepe, Antonio; Gsaxner, Christina; Egger, Jan (2020). 'An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design'. arXiv:2006.00980 [physics.med-ph].
10. ^Pepe, Antonio; Li, Jianning; Rolf-Pissarczyk, Malte; Gsaxner, Christina; Chen, Xiaojun; Holzapfel, Gerhard A.; Egger, Jan (2020). 'Detection, Segmentation, Simulation and Visualization of Aortic Dissections: A Review'. Medical Image Analysis. 65: 101773. doi:10.1016/j.media.2020.101773. PMID32738647.
11. ^Prutsch, Alexander. 'Design and Development of a Web-based Tool for Inpainting ofDissected Aortae in Angiography Images'(PDF). Retrieved April 25, 2020.
12. ^Goodfellow, Ian; Pouget-Abadie, Jean; Mirza, Mehdi; Xu, Bing; Warde-Farley, David; Ozair, Sherjil; Courville, Aaron; Bengio, Yoshua (2014). Generative Adversarial Networks(PDF). Proceedings of the International Conference on Neural Information Processing Systems (NIPS 2014). pp. 2672–2680.
13. ^Schmidhuber, J. (2015). 'Deep Learning in Neural Networks: An Overview'. Neural Networks. 61: 85–117. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003. PMID25462637. S2CID11715509.
14. ^'Graz University of Technology (TU Graz)'. Retrieved April 28, 2020.
15. ^Weber, Maximilian (December 13, 2018). A Client/Server based Online Environment for the calculation of Segmentation Scores (Bachelor Thesis). Austria: Institute of Computer Graphics and Vision, Graz University of Technology. pp. 1–40.
16. ^Wild, Daniel; Weber, Maximilian; Egger, Jan (2019). 'Client/Server Based Online Environment for Manual Segmentation of Medical Images'. arXiv:1904.08610 [cs.CV].
17. ^'Studierstube'(PDF). Retrieved April 26, 2020.
18. ^Szalavári, Zsolt; Schmalstieg, Dieter; Fuhrmann, Anton; Gervautz, Michael (1998). 'Studierstube: An environment for collaboration in augmented reality'. Virtual Reality, Volume 3. Lecture Notes in Computer Science. Springer International Publishing. 3: 37–48. doi:10.1007/BF01409796. S2CID1122975.
19. ^'Python'. Retrieved April 29, 2020.
20. ^'The Insight Toolkit (ITK)'. Retrieved April 27, 2020.
21. ^'VTK - The Visualization Toolkit'. Retrieved April 27, 2020.
22. ^'The X Toolkit: WebGL™ for Scientific Visualization'. April 25, 2020. Retrieved April 27, 2020.
23. ^'Slice:Drop'. Retrieved April 27, 2020.
24. ^'Ajax - Web developer guides'. MDN Web Docs. Archived from the original on February 28, 2018. Retrieved February 27, 2018.
25. ^'Armin Ronacher'. Retrieved April 26, 2020.
26. ^'1 Scope and Field of Application'. dicom.nema.org.
27. ^DICOM brochure, nema.org.
28. ^Aja-Fernández, Santiago; de Luis Garcia, Rodrigo; Tao, Dacheng; Li, Xuelong (2009). Tensors in Image Processing and Computer Vision. Advances in Computer Vision and Pattern Recognition. Springer Science & Business Media. ISBN9781848822993.
29. ^Bhandari, Abhishta; Koppen, Jarrad; Agzarian, Marc (2020). 'Convolutional neural networks for brain tumour segmentation'. Insights into Imaging. Lecture Notes in Computer Science. Springer Open. 11:77 (1): 77. doi:10.1186/s13244-020-00869-4. PMC7280397. PMID32514649.
30. ^Egger, Jan (March 12, 2017). 'HTC Vive MeVisLab integration via OpenVR for medical applications'. PLOS ONE. 12 (3): e0173972. arXiv:1703.07575. Bibcode:2017PLoSO..1273972E. doi:10.1371/journal.pone.0173972. PMC5360258. PMID28323840.
31. ^'ParaView'. Retrieved May 24, 2020.

External links[edit]