Identification and patient blood subtypes

Diagnosing blood diseases often involves the identification and characterization of patient blood samples. Mathematical neural-type methods can be very useful. in the automated recognition of blood cell subtypes. By having this data available mass processing of these allow the implementation of an automatic detection model and classification of cells such as eosinophils, lymphocytes, monocytes and neutrophils. The goal is to of the study "Convolutional Neural Network and decision support in medical imaging: case study of the recognition of blood cell subtypes", published in the CEUR Workshop Proceedings, ISSN: 1613-0073, is to use the learning Convolutional Neural Network (CNN) type deep machine for the recognition of blood cell type images (figure 7) and to make them capable of classifying them such as eosinophils, lymphocytes, monocytes or neutrophils. Accuracy of classification on all learning data is 97.39% and the validation accuracy is 97.77%. Failure of image detection is very low. Translated with www.DeepL.com/Translator (free version).

Architecture of the proposed CNN classifier. The input represents a 2D image, followed by convolution layers and max pooling layers to compute n sets of 32 then 64 classified feature maps with a fully connected network

You begin with a text, you sculpt information, you chisel away what's not needed, you come to the point, make things clear, add value, you're a content person, you like words. Design is no afterthought, far from it, but it comes in a deserved second. Anyway, you still use Lorem Ipsum and rightly so, as it will always have a place in the web workers toolbox, as things happen, not always the way you like it, not always in the preferred order. Even if your less into design and more into content strategy you may find some redeeming value with, wait for it, dummy copy, no less.

There's lot of hate out there for a text that amounts to little more than garbled words in an old language. The villagers are out there with a vengeance to get that Frankenstein, wielding torches and pitchforks, wanting to tar and feather it at the least, running it out of town in shame.

One of the villagers, Kristina Halvorson from Adaptive Path, holds steadfastly to the notion that design can’t be tested without real content:

I’ve heard the argument that “lorem ipsum” is effective in wireframing or design because it helps people focus on the actual layout, or color scheme, or whatever. What kills me here is that we’re talking about creating a user experience that will (whether we like it or not) be DRIVEN by words. The entire structure of the page or app flow is FOR THE WORDS.

If that's what you think how bout the other way around? How can you evaluate content without design? No typography, no colors, no layout, no styles, all those things that convey the important signals that go beyond the mere textual, hierarchies of information, weight, emphasis, oblique stresses, priorities, all those subtle cues that also have visual and emotional appeal to the reader. Rigid proponents of content strategy may shun the use of dummy copy but then designers might want to ask them to provide style sheets with the copy decks they supply that are in tune with the design direction they require.

Summing up, if the copy is diverting attention from the design it’s because it’s not up to task.

Typographers of yore didn't come up with the concept of dummy copy because people thought that content is inconsequential window dressing, only there to be used by designers who can’t be bothered to read. Lorem Ipsum is needed because words matter, a lot. Just fill up a page with draft copy about the client’s business and they will actually read it and comment on it. They will be drawn to it, fiercely. Do it the wrong way and draft copy can derail your design review.