Assessment of chemotherapy resistance changes in human colorectal cancer xenografts in rats based on MRI histogram features [PDF]
PurposeWe investigated the value of magnetic resonance imaging (MRI) histogram features, a non-invasive method, in assessing the changes in chemoresistance of colorectal cancer xenografts in rats.MethodsA total of 50 tumor-bearing mice with colorectal ...
Min-Yi Wu+6 more
doaj +2 more sources
Geodesic Distance Histogram Feature for Video Segmentation [PDF]
This paper proposes a geodesic-distance-based feature that encodes global information for improved video segmentation algorithms. The feature is a joint histogram of intensity and geodesic distances, where the geodesic distances are computed as the shortest paths between superpixels via their boundaries.
Dimitris Samaras+3 more
arxiv +6 more sources
Histogram-Based Features Selection and Volume of Interest Ranking for Brain PET Image Classification [PDF]
Positron emission tomography (PET) is a molecular medical imaging modality which is commonly used for neurodegenerative diseases diagnosis. Computer-aided diagnosis, based on medical image analysis, could help quantitative evaluation of brain diseases ...
Imène Garali+3 more
openalex +2 more sources
Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sequences [PDF]
Human Action Recognition (HAR) is the classification of an action performed by a human. The goal of this study was to recognize human actions in action video sequences.
Chirag Patel+5 more
openalex +2 more sources
Beat histogram features from NMF-based novelty functions for music classification [PDF]
In this paper we present novel rhythm features derived from drum tracks extracted from polyphonic music and evaluate them in a genre classification task. Musical excerpts are analyzed using an optimized, partially fixed Non-Negative Matrix Factorization (
Lerch, Alexander+2 more
core +2 more sources
Efficiently matching sets of features with random histograms [PDF]
As the commonly used representation of a feature-rich data object has evolved from a single feature vector to a set of feature vectors, a key challenge in building a content-based search engine for feature-rich data is to match feature-sets efficiently. Although substantial progress has been made during the past few years, existing approaches are still
Wei Dong+3 more
openalex +2 more sources
This paper deals with the fault diagnosis of the face milling tool based on machine learning approach using histogram features and K-star algorithm technique. Vibration signals of the milling tool under healthy and different fault conditions are acquired
C.K. Madhusudana+2 more
doaj +2 more sources
A Learning-Based Steganalytic Method against LSB Matching Steganography [PDF]
This paper considers the detection of spatial domain least significant bit (LSB) matching steganography in gray images. Natural images hold some inherent properties, such as histogram, dependence between neighboring pixels, and dependence among pixels ...
Z. Xia+5 more
doaj +2 more sources
Beat histogram features for rhythm-based musical genre classification using multiple novelty functions [PDF]
In this paper we present beat histogram features for multiple level rhythm description and evaluate them in a musical genre classification task. Audio features pertaining to various musical content categories and their related novelty functions are ...
Lerch, Alexander, Lykartsis, Athanasios
core +2 more sources
Histogram Equalization-Based Features for Speech, Music, and Song Discrimination [PDF]
This work was supported in part by the regional project Comunidad de Madrid-UC3M CCG08-UC3M/TIC-4457 and the Spanish Government Projects TEC2008-06382 and DPI2007-66846-C02-02.
Ascensión Gallardo-Antolín+1 more
openalex +5 more sources