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TECH PULSE 2018-2019

Vaddi Pramod Harsha

16A31B0557

In the field of biomedical image annotation, we

always need experts, who acquired the related knowledge,

to annotate each image. And they also consume large

amount of time to annotate. If the annotation process

becomes automatic, less human efforts and lower cost can be

achieved. Or it can be act as an assisted role to reduce the

human mistake.

Image Segmentation:

In Computer Vision, Image Segmentation is

partitioning a digital image into multiple segments.

It is done so as to analyze a digital image in an

easier and more effective manner.

The result of image segmentation is a set of

segments that are grouped into classes.

Each of the pixels in a region are similar with

respect to some characteristic or computed property,

such as colour, intensity, or texture.

Use of Image Segmentation in Biomedical field:

Image segmentation is done on X-rays, Ultrasound,

MRI or CT scans.

The current condition of an organ or tissue of a

patient can be monitored over time for diagnostic

and treatment evaluation.

It helps in diagnosing medical issues in a clear

manner for complex cases.

BIOMEDICAL IMAGE

SEGMENTATION

USING

U-NET

Introduction:

Fig: Segmented Image of a tissue

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