AI-driven Transformations in Medical Imaging

From Formation to Interpretation AI-driven Transformations in Medical ImagingContents

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Machine learning and artiﬁcial intelligence are increasingly playing an important role in healthcare, driving signiﬁcant disruptions across medical image processing, analytics, segmentation, and diagnostics. Machine learning is eﬀective at processing large volumes of high-dimensional data, and at performing repetitive tasks, enabling human experts to spend time doing specialized activities.

LTTS OFFERINGS

Our expertise across the spectrum of medical Imaging technologies includes solutions and tools for workflow; image acquisition, processing, storage and retrieval; and care collaboration.

Image Processing Overview

Technological Expertise

AI Services for Digital Radiography Service Offerings

Medical Images	Data Ingestion & Annotation	Data Pre-processing	Training & Model Selection	Model Evaluation	Deployment
Services	Image collection ecosystem Data Cleaning Data anonymization Annotation	Data Augmentation Noise remova Pre-processing algorithm development	Develop Models for Machine Learnin Computer Vision Signal Processing Algorithm Development Customised algorithm development	Evaluation strategy formulation Model evaluation by collaboration with radiologists Quality & Regulatory considerations	Cloud Deployment Embedded Deployment Developed Models - Production Ready Optimization of AI algorithms System Integration Medical Compliance

Enablers

Ecosystem partner
Annotation Tools expertise

30+ years of medical imaging experience
In-house Algorithms & Frameworks

Patented Algorithms
10+ successful AI project deployment
Dedicated Infrastructur
GPU | On-premise & Cloud

30+ years of Medial Imaging Experience
Ecosystem partner
AI Model evaluation experience

PACS → DICOM/HL
Cloud & Embedded Infrastructure

LTTS’ AI Capabilities Across The Core Areas Of Medical Image Processing

SUCCESS STORIES

Smart Facial Recognition- AI-based solution on Snapdragon platform

LTTS developed an optimized AI model that reduces medical image sizes while improving the recognition speed without compromising on accuracy.

Knee Bone Modeling from MRI images

LTTS has developed a semi-automated single tool that accepts DICOM and generates an STL file after 3D segmentation. This helps in creating precise segmentation from MRI images for custom knee implants.

Radiographic Image Enhancements

LTTS developed a multi-device radiographic image enhancement solution for images with poor contrast, helping address challenges around extracting relevant clinical information from X-Ray images.

Easy Diagnosis: Workstation

LTTS has developed a web-based 3D reconstruction and volume rendering solution to analyze anatomical structures and visualizations.