Feature Selection using Artificial Bee....pdf


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2024-03-21
Artificial selection algorithm model Bee Colony Selection Feature paper bee
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Feature Selection using Artificial Bee Colony
Algorithm for Medical Image Classification
Vartika Agrawal1, Satish Chandra2
Department of Computer Science & Engineering
Jaypee Institute of Information and Technology
Noida, UP, India
1vartika5290@gmail.com, 2satish.chandra@jiit.ac.in
Abstract— Feature Selection in medical image processing is a
process of selection of relevant features, which are useful in
model construction, as it will lead to reduced training times and
classification model designed will be easier to interrupt. In this
paper a meta-heuristic algorithm Artificial Bee Colony (ABC)
has been used for feature selection in Computed Tomography
(CT Scan) images of cervical cancer with the objective of
detecting whether the data given as input is cancerous or not.
Starting with segmentation as a first step, performed by
implementing Active Contour Segmentation (ACM) algorithm
over the images. In this paper a semi-automated the system has
bee


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