Melanoma segmentation using deep learning with test-time augmentations and conditional random fields [PDF]
Scientific Reports, 2022 In a computer-aided diagnostic (CAD) system for skin lesion segmentation, variations in shape and size of the skin lesion makes the segmentation task more challenging.
Hassan Ashraf +4 more
doaj +3 more sources
RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields [PDF]
NeuroImage, 2020 Segmentation of brain lesions from magnetic resonance images (MRI) is an important step for disease diagnosis, surgical planning, radiotherapy and chemotherapy.
Gaoxiang Chen +4 more
doaj +5 more sources
An Introduction to Conditional Random Fields [PDF]
Foundations and Trends® in Machine Learning, 2012 Many tasks involve predicting a large number of variables that depend on each other as well as on other observed variables. Structured prediction methods are essentially a combination of classification and graphical modeling.
McCallum, Andrew, Sutton, Charles
core +8 more sources
AMHARIC TEXT CHUNKER USING CONDITIONAL RANDOM FIELDS
Jurnal informatika UPGRIS, 2021 This paper introduces Amharic text chunker using conditional random fields. To get the optimal feature set of the chunker; the researchers’ conduct different experiments using different scenarios until a promising result obtained. In this study different
birhan hailu Getaneh +2 more
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Brain Tumor Segmentation Using Deep Capsule Network and Latent-Dynamic Conditional Random Fields [PDF]
Journal of Imaging, 2022 Because of the large variabilities in brain tumors, automating segmentation remains a difficult task. We propose an automated method to segment brain tumors by integrating the deep capsule network (CapsNet) and the latent-dynamic condition random field ...
Mahmoud Elmezain +3 more
doaj +2 more sources
Protein alignment based on higher order conditional random fields for template-based modeling. [PDF]
PLoS ONE, 2018 The query-template alignment of proteins is one of the most critical steps of template-based modeling methods used to predict the 3D structure of a query protein.
Juan A Morales-Cordovilla +2 more
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SkipCor: skip-mention coreference resolution using linear-chain conditional random fields. [PDF]
PLoS ONE, 2014 Coreference resolution tries to identify all expressions (called mentions) in observed text that refer to the same entity. Beside entity extraction and relation extraction, it represents one of the three complementary tasks in Information Extraction.
Slavko Žitnik +2 more
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Recognizing point clouds using conditional random fields [PDF]
2014 22nd International Conference on Pattern Recognition, 2014 Detecting objects in cluttered scenes is a necessary step for many robotic tasks and facilitates the interaction of the robot with its environment. Because of the availability of efficient 3D sensing devices as the Kinect, methods for the recognition of ...
Dellen, Babette +2 more
core +5 more sources
Personalized Driver Gene Prediction Using Graph Convolutional Networks with Conditional Random Fields [PDF]
BiologyCancer is a complex and evolutionary disease mainly driven by the accumulation of genetic variations in genes. Identifying cancer driver genes is important. However, most related studies have focused on the population level. Cancer is a disease with high
Pi-Jing Wei +3 more
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Sign Language Recognition with the Kinect Sensor Based on Conditional Random Fields [PDF]
Sensors, 2014 Sign language is a visual language used by deaf people. One difficulty of sign language recognition is that sign instances of vary in both motion and shape in three-dimensional (3D) space. In this research, we use 3D depth information from hand motions,
Hee-Deok Yang
doaj +2 more sources