Computer Vision in Clinical Pathology | OpenCV
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Business Impact

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Artificial Intelligence has transformed the field of medical image analysis providing a helping hand in clinical decisions.

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With help of the artificial intelligence-based model, pharmaceutical companies, patients, and society are benefited at large with scalable and cost-effective solutions.

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We have teamed up with a startup company in developing an open platform that identifies histology images where the texture, spectral and structural features such as the nucleus with the help of Image processing.

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This solution is integrated with multiple datatypes for increasing the efficiency of analysis and improves success for biomarker development.

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The intent of this project is to train Computer Vision-based model that can classify pathology image tiles as benign or malignant.

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Technology Stack

Application Flow

Solution Overview

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It deals with histology images where the texture, spectral and structural features such as the nucleus are identified with the help of Image processing.

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The structural features such as shape index, compactness, elliptic fit, distance, etc. of the nucleus.

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The spectral features involve finding out the optical density format of the given images and obtaining the stain vectors and intensity for the stains involved in the histology images such as Hematoxylin, Eosin, and Residual.

Trusted and Proven Engagement Model

  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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5yrs

in AI & ML
Engineering

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40+

AI & ML
Projects for
reputed Clients

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50+

AI & ML
Engineers

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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