updated 2018-19 final (1)
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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