Niramai Health Analytix, a Bengaluru-based startup is creating an AI-powered software system for breast cancer screening. Niramai is using following technologies to achieve the objective of breast cancer screening:
Thermal image processing, also termed as thermal imaging, is a method of improving visibility of objects in a dark environment by detecting the objects’ infrared radiation and creating an image based on that information. source: techtarget.
The key to capturing thermal images of an object is a heat sensor (also called as thermal camera) which is capable of detecting tiny differences in the temperature. Given the fact that all objects emit infrared energy (heat), also termed as heat signature, thermal camera (heat sensor) collects the infrared radiation from objects in the scene and creates an electronic / digital image based on information about the temperature differences.
Given above, it is understood that thermal imaging would result in an electronic / digital image of an object. These images can be fed into machine learning algorithm and train a model based on supervised learning technique. Deep learning algorithms such as Convolutional neural network can be used to classify these images to different categories. If you are planning to create AI solution by feeding images, you could try cloud AI solutions such as some of the following:
Niramai uses a high resolution thermal sensing device to capture thermal images. These images are, then, sent over internet to cloud storage system. The images are then fed into machine learning model for training, testing and optimizing the model.
The following is how the technology landscape some developing AI solution such as Niramai may look like:
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