#Medical image analysis #Object detection #Automated machine learning

Pneumonia Detection from chest radiograph (CXR)

Pneumonia accounts for over 15% of all deaths of children under 5 years old internationally. In 2015, 920,000 children under the age of 5 died from the disease. While common, accurately diagnosing pneumonia is difficult. It requires review of a chest radiograph (CXR) by highly trained specialists and confirmation through clinical history, vital signs and laboratory exams. An example chest radiograph looks like this: Pneumonia usually manifests as an area or areas of increased lung opacity on CXR. ...

#Image classification #Medical image analysis #Automated machine learning

Analyzing breast cancer using deep learning

The process that’s used to detect breast cancer is time consuming and small malignant areas can be missed. In order to detect cancer, a tissue section is put on a glass slide. A pathologist then examines this slide under a microscope visually scanning large regions, where there’s no cancer in order to ultimately find malignant areas. Because these glass slides can now be digitized, computer vision can be used to speed up pathologist’s workflow and provide diagnosis support. ...

#Image classification #Automated machine learning #Areal monitoring

Areal monitoring to detect and eliminate invasive plant species

Tangles of kudzu overwhelm trees in Georgia while cane toads threaten habitats in over a dozen countries worldwide. These are just two invasive species of many which can have damaging effects on the environment, the economy, and even human health. Despite widespread impact, efforts to track the location and spread of invasive species are so costly that they’re difficult to undertake at scale. Currently, ecosystem and plant distribution monitoring depends on expert knowledge. ...

#Object detection #Automated machine learning #Zero code machine learning

Train an object detector without writing any code (step-by-step guide)

Can we train an object detector from scratch (no training data, no tools) without writing any code or knowing anything in machine learning? The answer is, yes. I am planning to guide you through such a process step-by-step in this blog post. Let’s say, we would like to build a sheep detector, which can later be deployed in a mobile phone to track sheeps in a field and send you an alarm if sheeps go too far. ...

#News #Intelec AI #Automated machine learning

You can download Intelec AI for free now

Hello to everyone. We’ve been working hard on making Intelec AI free for everyone to download and try. We can finally announce that you can download and try Intelec AI for free now. Please follow this link to learn more about how to set it up on your computer. Main advantages of the downloadable version We would like to shortly describe, why it might be a good idea to download Intelec AI and use it on your computer, instead of choosing the cloud version of the software: ...

#Object detection #Automated machine learning

Train Red Blood Cell Detector in 5 min

Hello to everyone. The purpose of this post is to talk about object detection and show you how one can easily build and deploy an object detector using Intelec AI. Ok, let’s get started. Object detection Object detection is a subfield of computer vision, which is dedicated to identifying objects in images and videos. The use cases are endless, be it object tracking, video surveillance, self driving cars or face detection. ...