Medical Images Analysis in Cancer Diagnostic

10/05/2018
by   Jelena Vasiljević, et al.
12

This paper shows results of computer analysis of images in the purpose of finding differences between medical images in order of their classifications in terms of separation malign tissue from a normal and benign tissue. The diagnostics of malign tissue is of the crucial importance in medicine. Therefore, ascertainment of the correlation between multifractals parameters and "chaotic" cells could be of the great appliance. This paper shows the application of multifractal analysis for additional help in cancer diagnosis, as well as diminishing. of the subjective factor and error probability

READ FULL TEXT

page 3

page 4

page 5

research
05/08/2023

Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout

Generating annotated pairs of realistic tissue images along with their a...
research
08/29/2017

Semi-automated labelling of medical images: benefits of a collaborative work in the evaluation of prostate cancer in MRI

Purpose: The goal of this study is to show the advantage of a collaborat...
research
04/13/2020

Learning a low dimensional manifold of real cancer tissue with PathologyGAN

Application of deep learning in digital pathology shows promise on impro...
research
07/17/2023

Machine-Learning-based Colorectal Tissue Classification via Acoustic Resolution Photoacoustic Microscopy

Colorectal cancer is a deadly disease that has become increasingly preva...
research
03/21/2015

Wavelet based approach for tissue fractal parameter measurement: Pre cancer detection

In this paper, we have carried out the detail studies of pre-cancer by w...
research
04/30/2015

Application of S-Transform on Hyper kurtosis based Modified Duo Histogram Equalized DIC images for Pre-cancer Detection

Our proposed hyper kurtosis based histogram equalized DIC images enhance...
research
11/28/2020

Differences between human and machine perception in medical diagnosis

Deep neural networks (DNNs) show promise in image-based medical diagnosi...

Please sign up or login with your details

Forgot password? Click here to reset