Zentree Labs - Image Analysis

Image analysis is a crucial technique for detecting and diagnosing various diseases and conditions. AI can use deep learning, a type of machine learning to analyze medical images in a fast and precise way. Deep learning AI architectures have been developed and applied to medical images in nerves, retina, lungs, digital pathology, breast, heart, abdomen, and musculoskeletal systems, making high-precision diagnosis possible. These AI systems can learn from large amounts of data and recognize complex patterns and features in the images.

Benefits

In brain research using AI, many studies have been conducted in the field of AD classification, anatomical segmentation of brain regions, and tumour detection
Can develop methods for classifying frontal and lateral chest X-ray images,
Cardiac artificial research fields include left ventricle segmentation, slice classification, image quality assessment, automated calcium scoring, coronary centerline tracking, and super-resolution
Musculo-skeletal images are analysed by deep-learning algorithms for segmentation and identification of bone, joint, and associated soft tissue abnormalities

Implementations

Hospitals – Hospitals and to take care of their patients effectively
Image laboratories – Better clarity of the insights to give summary
Insurance companies – This system can be useful for avoiding huge amounts of policy claims for their customers