Google's Image Classification Model is now Free to Learn for Everyone Computer Science |
- Google's Image Classification Model is now Free to Learn for Everyone
- A chrome extension bringing a digital rubber duck to you for debugging, companionship and laughs.
- Applying Machine Learning to Image Processing
- Is there an software that you draw a continuous curve, then it output corresponding equation?
- Computer program looks five minutes into the future
| Google's Image Classification Model is now Free to Learn for Everyone Posted: 15 Jun 2018 10:18 AM PDT |
| A chrome extension bringing a digital rubber duck to you for debugging, companionship and laughs. Posted: 16 Jun 2018 03:53 AM PDT |
| Applying Machine Learning to Image Processing Posted: 15 Jun 2018 04:51 PM PDT Context: I have thousands of fluorescent images of individual cells. In each cell, an organelle of choice has been stained by a protein. Basically, each image consists of 1-12 pixelated bright spots. There are 30 frames in each image - we took vertical slices of our cells to get a 3D picture (like a gif). I need to be able to isolate the organelles from the background noise. I already know how to extract the data I want, I'm just struggling to write code that can correctly identify the organelles, without getting confused by the diversity of the images (because their brightness, background noise, etc vary a lot) I thought I would find an algorithm that I can teach to correctly identify these bright spots. I've been trying to use Gaussian blurs, Otsu Thresholding, etc, but training an algorithm by feeding it sample images seems like it would give the most accurate data. I'd greatly appreciate any tips/resources/things to read on finding/creating an algorithm like this. I'm pretty new to compsci, but I'm really excited about getting this project to work. [link] [comments]  |
| Is there an software that you draw a continuous curve, then it output corresponding equation? Posted: 15 Jun 2018 01:51 PM PDT |
| Computer program looks five minutes into the future Posted: 15 Jun 2018 07:26 AM PDT |
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