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
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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
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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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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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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
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Conditional random fields for fast, large-scale genome-wide association studies. [PDF]
PLoS ONE, 2011 Understanding the role of genetic variation in human diseases remains an important problem to be solved in genomics. An important component of such variation consist of variations at single sites in DNA, or single nucleotide polymorphisms (SNPs ...
Jim C Huang +3 more
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Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis [PDF]
International Journal of Biomedical Imaging, 2011 Many subproblems in automated skin lesion diagnosis (ASLD) can be unified under a single generalization of assigning a label, from an predefined set, to each pixel in an image.
Paul Wighton +5 more
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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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Named Entity Recognition Using Conditional Random Fields
Applied Sciences, 2022 Named entity recognition (NER) is an important task in natural language processing, as it is widely featured as a key information extraction sub-task with numerous application areas.
Wahab Khan +5 more
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