Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis

01/18/2021
by   Luis A. de Souza Jr., et al.
2

In this work, we introduce the unsupervised Optimum-Path Forest (OPF) classifier for learning visual dictionaries in the context of Barrett's esophagus (BE) and automatic adenocarcinoma diagnosis. The proposed approach was validated in two datasets (MICCAI 2015 and Augsburg) using three different feature extractors (SIFT, SURF, and the not yet applied to the BE context A-KAZE), as well as five supervised classifiers, including two variants of the OPF, Support Vector Machines with Radial Basis Function and Linear kernels, and a Bayesian classifier. Concerning MICCAI 2015 dataset, the best results were obtained using unsupervised OPF for dictionary generation using supervised OPF for classification purposes and using SURF feature extractor with accuracy nearly to 78 Regarding the Augsburg dataset, the most accurate results were also obtained using both OPF classifiers but with A-KAZE as the feature extractor with accuracy close to 73 bag-of-visual-words techniques showed results that outperformed others obtained recently in the literature, as well as we highlight new advances in the related research area. Reinforcing the significance of this work, to the best of our knowledge, this is the first one that aimed at addressing computer-aided BE identification using bag-of-visual-words and OPF classifiers, being this application of unsupervised technique in the BE feature calculation the major contribution of this work. It is also proposed a new BE and adenocarcinoma description using the A-KAZE features, not yet applied in the literature.

READ FULL TEXT

page 1

page 5

page 6

page 8

page 9

page 14

page 15

page 16

research
02/18/2021

Hierarchical Learning Using Deep Optimum-Path Forest

Bag-of-Visual Words (BoVW) and deep learning techniques have been widely...
research
01/28/2020

OPFython: A Python-Inspired Optimum-Path Forest Classifier

Machine learning techniques have been paramount throughout the last year...
research
02/16/2021

Information Ranking Using Optimum-Path Forest

The task of learning to rank has been widely studied by the machine lear...
research
03/16/2017

From visual words to a visual grammar: using language modelling for image classification

The Bag--of--Visual--Words (BoVW) is a visual description technique that...
research
04/13/2022

A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic

In the past decades, fuzzy logic has played an essential role in many re...
research
03/14/2016

Automatic Discrimination of Color Retinal Images using the Bag of Words Approach

Diabetic retinopathy (DR) and age related macular degeneration (ARMD) ar...
research
02/23/2021

Automatic Ship Classification Utilizing Bag of Deep Features

Detection and classification of ships based on their silhouette profiles...

Please sign up or login with your details

Forgot password? Click here to reset