ABCD (Accentedge Digital Biomarker Cancer Detection), is a complete solution for cancer tumor classification using pathological images that continuously learns and improves.

Process

Abnormal Cell Growth

A cancer tumor is a mass or growth of abnormal cells.

Target Patient

People of all ages, ethnicities and social class can develop a tumor that is cancerous.

Benign or Malignant

Finding if the tumor is Benign or Malignant is important as it impacts further diagnosis and treatment.

Tumor Type Classification

Malignant tumors have different shapes, sizes and impacts. Classifying the tumor correctly is important to plan treatment.

Timely Diagnosis

Malignant tumors are dangerous and can spread quickly. Timely classification and treatment can save lives.

Solution

Intelligent system to aid medical professionals in accurate and timely detection, classification and labeling of cancer images.

Model

A model is developed using state-of-the-art machine learning algrithms

Train

Model is trained on large amounts of tumor data with multiple labels exploiting deep learning capability

Deploy

Model is deployed in the cloud for universal accessibility and is continuously improved

Product

ABCD (Accentedge Digital Biomarker Cancer Detection), is a complete solution for cancer tumor classification using pathological images that continuously learns and improves.

Digital Image

Simply requires a  pathological image as an input

AI Examination

Cloud AI-based  software processes the image and extracts tumor features

Automated Classification

AI software classifies the tumor using state-of-the-art deep learning algorithms

Universal Access

AI software classifies the tumor using state-of-the-art deep learning algorithms

Results

We have achieved testing accuracy of up to 93% on datasets containing thousands of different tumor type images.

Model Accuracy
Model Loss
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