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Emerging applications of bio-inspired algorithms in image segmentation
S Larabi-Marie-Sainte, R Alskireen, S Alhalawani - Electronics, 2021 - mdpi.com
Image processing is one example of digital media. It consists of a set of operations to handle
an image. Image segmentation is among its main important operations. It involves dividing …
an image. Image segmentation is among its main important operations. It involves dividing …
Advanced brain tumour segmentation from mri images
KA Rajasekaran, CC Gounder - Basic physical principles and …, 2018 - books.google.com
Magnetic resonance imaging (MRI) is widely used medical technology for diagnosis of
various tissue abnormalities, detection of tumors. The active development in the …
various tissue abnormalities, detection of tumors. The active development in the …
Towards an autonomous human chromosome classification system using Competitive Support Vector Machines Teams (CSVMT)
In broad terms, karyoty** is the process of examination and classification of human
chromosome images to diagnose genetic diseases and disorders. It requires time …
chromosome images to diagnose genetic diseases and disorders. It requires time …
A genetic type-2 fuzzy C-means clustering approach to M-FISH segmentation
DD Nguyen, LT Ngo, J Watada - Journal of Intelligent & Fuzzy …, 2014 - content.iospress.com
Abstract Multiplex Fluorescent In Situ Hybridization (M-FISH) is a multi-channel chromosome
image generating technique that allows colors of the human chromosomes to be …
image generating technique that allows colors of the human chromosomes to be …
[PDF][PDF] Step by Step: Artificially intelligent models for predicting the footpath network using semantic segmentation
J Sams - Australasian Transport Research …, 2023 - australasiantransportresearchforum …
Understanding the footpath network from the point of view of a pedestrian is often ignored by
commercial map** companies to the detriment of vulnerable footpath users, such as the …
commercial map** companies to the detriment of vulnerable footpath users, such as the …
[PDF][PDF] Research Article Unsupervised Object Category Recognition from Image Datasets
S Sultana, SO Rahman, MA Hossain - Nova, 2014 - academia.edu
The variability of the object models is treated as flexible constellations of rigid parts which is
represented by a joint probability density function (pdf) on the shape of the constellation and …
represented by a joint probability density function (pdf) on the shape of the constellation and …
[CITAT][C] Unsupervised Object Category Recognition from Image Datasets
S Saima, RS Ohishee, H Alamgir - Nova Journal of Engineering and Applied …, 2016