Triagem virtual de imagens de imuno-histoquímica usando redes neurais artificiais e espectro de padrões

12/03/2017
by   Higor Neto Lima, et al.
0

The importance of organizing medical images according to their nature, application and relevance is increasing. Furhermore, a previous selection of medical images can be useful to accelerate the task of analysis by pathologists. Herein this work we propose an image classifier to integrate a CBIR (Content-Based Image Retrieval) selection system. This classifier is based on pattern spectra and neural networks. Feature selection is performed using pattern spectra and principal component analysis, whilst image classification is based on multilayer perceptrons and a composition of self-organizing maps and learning vector quantization. These methods were applied for content selection of immunohistochemical images of placenta and newdeads lungs. Results demonstrated that this approach can reach reasonable classification performance.

READ FULL TEXT

page 10

page 11

research
07/18/2020

A Bag of Visual Words Model for Medical Image Retrieval

Medical Image Retrieval is a challenging field in Visual information ret...
research
11/22/2017

Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval

Deep neural networks have been investigated in learning latent represent...
research
11/12/2020

Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval

Medical images can be decomposed into normal and abnormal features, whic...
research
07/05/2015

Autoencoding the Retrieval Relevance of Medical Images

Content-based image retrieval (CBIR) of medical images is a crucial task...
research
03/23/2021

Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval

In medical imaging, the characteristics purely derived from a disease sh...
research
08/01/2014

Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis

Due to advances in sensors, growing large and complex medical image data...
research
09/19/2023

Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results

We present a new method for automatically classifying medical images tha...

Please sign up or login with your details

Forgot password? Click here to reset