Results 41 to 50 of about 9,325,572 (289)

A Comprehensive Review of Markov Random Field and Conditional Random Field Approaches in Pathology Image Analysis

, 2021
Pathology image analysis is an essential procedure for clinical diagnosis of numerous diseases. To boost the accuracy and objectivity of the diagnosis, nowadays, an increasing number of intelligent systems are proposed.
Li, Chen, Sun, Changhao, Zhang, Hong, Wu, Xinran, Wang, Qian, Rahaman, Md Mamunur, Wang, Kai, Li, Yixin, Chen, Hao, Li, Xiaoyan, Md Mamunur Rahaman, Hao Chen, Yixin Li, Xiaoyan Li, Chen Li, Changhao Sun, Hong Zhang, Xinran Wu, Kai Wang, Qian Wang   +19 more
core   +1 more source

On the characterization of a finite random field by conditional distribution and its Gibbs form [PDF]

, 2022
In this paper, we show that the methods of mathematical statistical physics can be successfully applied to random fields in finite volumes. As a result, we obtain simple necessary and sufficient conditions for the existence and uniqueness of a finite ...
Nahapetian, Boris S., Khachatryan, Linda A.   +1 more
core   +1 more source

Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework

IEEE Access, 2015
The use of high-volume quantitative radiomics features extracted from multi-parametric magnetic resonance imaging (MP-MRI) is gaining attraction for the autodetection of prostate tumors, since it provides a plethora of mineable data, which can be used ...
Audrey G. Chung, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong   +4 more
doaj   +1 more source

Camera matching based on spatiotemporal activity and conditional random field model

IET Computer Vision, 2014
In this study, the authors investigate how to find correspondences (pixel‐level matches) between two video sequences with overlapping views, recorded by different stationary uncalibrated video cameras, without imposing any constrains on, or requiring any
Liu Xiaokai, Wang Hongyu, Gao Hongbo
doaj   +1 more source

Chunking in Turkish with Conditional Random Fields

, 2015
In this paper, we report our work on chunking in Turkish. We used the data that we generated by manually translating a subset of the Penn Treebank. We exploited the already available tags in the trees to automatically identify and label chunks in their Turkish translations.
Olcay Taner Yildiz, Ercan Solak, Razieh Ehsani, Onur Görgün   +3 more
openaire   +2 more sources

Improving the automatic segmentation of subtitles through conditional random field [PDF]

, 2017
[EN] Automatic segmentation of subtitles is a novel research field which has not been studied extensively to date. However, quality automatic subtitling is a real need for broadcasters which seek for automatic solutions given the demanding European ...
del Pozo, Arantza, Balenciaga, Marina, Arzelus, Haritz, Martínez-Hinarejos, Carlos-D., Alvarez, Aitor   +4 more
core   +1 more source

Composition of conditional random fields for transfer learning [PDF]

Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05, 2005
Many learning tasks have subtasks for which much training data exists. Therefore, we want to transfer learning from the old, general-purpose subtask to a more specific new task, for which there is often less data. While work in transfer learning often considers how the old task should affect learning on the new task, in this paper we show that it helps
Sutton, Charles, McCallum, Andrew
openaire   +3 more sources

Joint Posterior Probability Active Learning for Hyperspectral Image Classification

Remote Sensing, 2023
Active learning (AL) is an approach that can reduce the dependence on the labeled set significantly. However, most current active-learning methods are only concerned with the first two columns of the posterior probability matrix during the sampling phase.
Shuying Li, Shaowei Wang, Qiang Li
doaj   +1 more source

Neutralization of the PTX3/CD44 axis suppresses TGF‐β1 signaling in kidney fibrosis

FEBS Letters, EarlyView.
This study investigates how the PTX3/CD44 axis promotes kidney fibrosis by activating TGF‐β1 signaling. We demonstrate that the neutralizing antibody WHC‐001 effectively inhibits this pathway, suppressing myofibroblast activation and partial epithelial–mesenchymal transition (EMT).
Chao‐Chun Cheng, Shen‐Shin Chang, Feng‐Wei Chen, Ying‐Chieh Su, Thanh Phuong Nguyen, Yu‐Wei Hsiao, Jhih‐Ying Chi, Hsin‐Yin Liang, Ju‐Ming Wang   +8 more
wiley   +1 more source

Object Affordance-Based Implicit Interaction for Wheelchair-Mounted Robotic Arm Using a Laser Pointer

Sensors, 2023
With the growth of the world’s population, limited healthcare resources cannot provide adequate nursing services for all people in need. The wheelchair-mounted robotic arm (WMRA) with interactive technology could help to improve users’ self-care ability ...
Yaxin Liu, Yan Liu, Yufeng Yao, Ming Zhong   +3 more
doaj   +1 more source