A Comprehensive Review for MRF and CRF Approaches in Pathology Image Analysis
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Abstract (arXiv)
Pathology image analysis is an essential procedure for clinical diagnosis of many diseases. To boost the accuracy and objectivity of detection, nowadays, an increasing number of computer-aided diagnosis (CAD) system is proposed. Among these methods, random field models play an indispensable role in improving the analysis performance. In this review, we present a comprehensive overview of pathology image analysis based on the markov random fields (MRFs) and conditional random fields (CRFs), which are two popular random field models. Firstly, we introduce the background of two random fields and pathology images. Secondly, we summarize the basic mathematical knowledge of MRFs and CRFs from modelling to optimization. Then, a thorough review of the recent research on the MRFs and CRFs of pathology images analysis is presented. Finally, we investigate the popular methodologies in the related works and discuss the method migration among CAD field.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Sep 2020.
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Citing papers per year: 2021: 2; 2022: 6; 2023: 3; 2024: 0; 2025: 1; 2026: 1.
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- 2022EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Taskscited by 15
- 2021A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approachescited by 12
- 2021A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classificationcited by 9
- 2023EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversationcited by 7
- 2022Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathologycited by 6
- 2022TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videoscited by 2
- 2023Interpreting Vision and Language Generative Models with Semantic Visual Priorscited by 2
- 2025A Deep Learning Framework for Boundary-Aware Semantic Segmentationcited by 2
- 2022A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurementscited by 1
- 2022An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism imagescited by 1
- 2023ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regionscited by 1
- 2022Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancercited by 0
- 2026ESIA: An Energy-Based Spatiotemporal Interaction-Aware Framework for Pedestrian Intention Prediction26 Apr 2026
- 2025A Deep Learning Framework for Boundary-Aware Semantic Segmentation28 Mar 2025
- 2023ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions16 Aug 2023
- 2023Interpreting Vision and Language Generative Models with Semantic Visual Priors28 Apr 2023
- 2023EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation20 Mar 2023
- 2022EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks1 Dec 2022
- 2022Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer17 May 2022
- 2022Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology18 Apr 2022
- 2022TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videos18 Apr 2022
- 2022An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images4 Apr 2022
- 2022A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements18 Feb 2022
- 2021A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approaches7 May 2021
- 2022EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Taskscited by 15
- 2021A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approachescited by 12
- 2021A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classificationcited by 9
- 2023EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversationcited by 7
- 2022Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathologycited by 6
- 2022TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videoscited by 2
- 2023Interpreting Vision and Language Generative Models with Semantic Visual Priorscited by 2
- 2025A Deep Learning Framework for Boundary-Aware Semantic Segmentationcited by 2
- 2022A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurementscited by 1
- 2022An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism imagescited by 1
- 2023ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regionscited by 1
- 2022Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancercited by 0
12 most cited of 13 All 13 (JSON)
- 2026ESIA: An Energy-Based Spatiotemporal Interaction-Aware Framework for Pedestrian Intention Prediction26 Apr 2026
- 2025A Deep Learning Framework for Boundary-Aware Semantic Segmentation28 Mar 2025
- 2023ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions16 Aug 2023
- 2023Interpreting Vision and Language Generative Models with Semantic Visual Priors28 Apr 2023
- 2023EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation20 Mar 2023
- 2022EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks1 Dec 2022
- 2022Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer17 May 2022
- 2022Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology18 Apr 2022
- 2022TOD-CNN: An Effective Convolutional Neural Network for Tiny Object Detection in Sperm Videos18 Apr 2022
- 2022An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images4 Apr 2022
- 2022A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements18 Feb 2022
- 2021A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approaches7 May 2021
12 newest of 13 All 13 (JSON)