Abder Rahman Ali

Deep Learning plays a vital role in the early detection of cancer. A study published by NVIDIA showed that deep learning drops error rate for breast cancer diagnoses by 85%. This was the inspiration for Co-Founders Jeet Raut and Peter Njenga when they created AI imaging medical platform Behold.ai. Raut’s mother was told that she no longer had breast cancer, a diagnosis that turned out to be false and that could have cost her life.

In addition to being the second leading cause of death (respon...

As an editor, I have to collaborate with different writers. For example, sending them comments, feedback and changing the status of articles. Email is a very powerful tool most of us use multiple times per day for exchanging messages and collaboration. However, using email for editing and publishing tasks can be a quite painful, especially when you also have a team of writers.
There should be an alternative to the email way in handling such tasks. Since we are talking WordPress here, I will i...

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As a researcher in medical image analysis, I can’t overemphasize the importance of images. The information these images reveal about the body, both internally (i.e. MRI) or externally (i.e. Dermatoscopy), is extremely valuable. I am amazed when I notice a tumor shown clearly in an image. Sometimes, the image needs some processing, but at the end of the day the medical image was the source for that information.
Tumors are not the only item shown throug...

Thanks to Shaumik Daityari for kindly helping to peer review this article.
When we call a function in Python, the function will normally start working until it encounters a return, exception, or reaches its end – after which it returns control back to the caller. Whenever you call that function again, the process will start from scratch!
Say that you asked a person to track the red cars on the road. The person will keep getting a question asking them if they spotted a red car or not, and the ...

Have you ever come across a noisy image? I mean an image that was not that clear when viewing it? I think we do come across such images very often, especially when many images nowadays are taken by our mobile phone cameras or low-resolution digital cameras.
If you had only that noisy image which means something to you, but the issue is that it cannot be viewed properly, would there be a solution to recover from such noise?
This is where image filtering comes into play, and this is what I will...

Let me start this tutorial by taking some theoretical jargon out of your way. When we talk about image enhancement, this basically means that we want a new version of the image that is more suitable than the original one.
For instance, when you scan a document, the output image might have a lower quality than the original input image. We thus need a way to improve the quality of output images so they can be visually more expressive for the viewer, and this is where image enhancement comes int...

Edge detection is an essential image analysis technique when someone is interested in recognizing objects by their outlines, and is also considered an essential step in recovering information from images.
For instance, important features like lines and curves can be extracted using edge detection, which are then normally used by higher-level computer vision or image processing algorithms. A good edge detection algorithm would highlight the locations of major edges in an image, while at the sa...

Remember when you saw that low-quality image and felt a bit disappointed? It wasn't clear enough, and the details were a bit fuzzy. What if you could enhance that image to a better version? Wouldn't that be great? Fortunately, there's a way to do that, using Python!
One of the methods you can use to enhance an image is histogram equalization, which in particular enhances the contrast of the image. Almost all camera systems actually use histogram equalization to make our pictures look better, ...

One day, my friend sent me some images to test my algorithm on. The algorithm worked just fine, and I got everything running through. When analyzing the results, however, I saw that some images had been rotated!
I really couldn't understand the reason. Nothing in my algorithm performed any rotations, and it was a bit weird. I fortunately got a hold of the reason why this happened after all, and in this post I will walk you through the steps you can perform to analyze images that get rotated w...

Have you ever come across a noisy image? I mean an image that was not that clear when viewing it? I think we do come across such images very often, especially when many images nowadays are taken by our mobile phone cameras or low-resolution digital cameras.
If you had only that noisy image which means something to you, but the issue is that it cannot be viewed properly, would there be a solution to recover from such noise?
This is where image filtering comes into play, and this is what I will...

Pickles in Python are tasty in the sense that they represent a Python object as a string of bytes. Many things can actually be done with those bytes. For instance, you can store them in a file or database, or transfer them over a network.
The pickled representation of a Python object is called a pickle file. The pickled file thus can be used for different purposes, like storing results to be used by another Python program or writing backups. To get the original Python object, you simply unpic...