Hongzan Sun

Orcid: 0000-0002-4724-5828

According to our database1, Hongzan Sun authored at least 48 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
What can machine vision do for lymphatic histopathology image analysis: a comprehensive review.
Artif. Intell. Rev., March, 2024

A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification.
Neural Comput. Appl., 2024

ECPC-IDS: A benchmark endometrial cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions.
Comput. Biol. Medicine, 2024

AATCT-IDS: A benchmark Abdominal Adipose Tissue CT Image Dataset for image denoising, semantic segmentation, and radiomics evaluation.
Comput. Biol. Medicine, 2024

PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage.
Comput. Biol. Medicine, 2024

2023
OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation.
Comput. Biol. Medicine, December, 2023

Comparative study of neonatal brain injury fetuses using machine learning methods for perinatal data.
Comput. Methods Programs Biomed., October, 2023

A comprehensive survey of intestine histopathological image analysis using machine vision approaches.
Comput. Biol. Medicine, October, 2023

CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer.
Comput. Biol. Medicine, August, 2023

A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers.
Comput. Biol. Medicine, July, 2023

PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage.
CoRR, 2023

ECPC-IDS: A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions.
CoRR, 2023

ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos.
CoRR, 2023

TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model.
Proceedings of the IEEE International Conference on Big Data, 2023

Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma.
Proceedings of the IEEE International Conference on Big Data, 2023

PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-Connection and Dropconnect.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron.
Pattern Recognit., 2022

GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection.
Pattern Recognit., 2022

EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks.
CoRR, 2022

A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer.
CoRR, 2022

Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer.
CoRR, 2022

Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology.
CoRR, 2022

EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation.
CoRR, 2022

A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification.
CoRR, 2022

TOD-CNN: An effective convolutional neural network for tiny object detection in sperm videos.
Comput. Biol. Medicine, 2022

Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers.
Comput. Biol. Medicine, 2022

GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer.
Comput. Biol. Medicine, 2022

IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach.
Comput. Biol. Medicine, 2022

A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches.
Artif. Intell. Rev., 2022

Image Classification in Breast Histopathology Using Transfer and Ensemble Learning.
Proceedings of the Information Technology in Biomedicine - 9th International Conference, 2022

PIS-Net: A Novel Pixel Interval Sampling Network for Dense Microorganism Counting in Microscopic Images.
Proceedings of the Information Technology in Biomedicine - 9th International Conference, 2022

DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification.
Proceedings of the Information Technology in Biomedicine - 9th International Conference, 2022

2021
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation.
CoRR, 2021

EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation.
CoRR, 2021

Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers.
CoRR, 2021

A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis.
CoRR, 2021

A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches.
CoRR, 2021

2020
A review for cervical histopathology image analysis using machine vision approaches.
Artif. Intell. Rev., 2020

An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification.
IEEE Access, 2020

2019
Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning.
IEEE Access, 2019

Cervical Histopathology Image Classification Using Ensembled Transfer Learning.
Proceedings of the Information Technology in Biomedicine, 2019

Weakly Supervised Cervical Histopathological Image Classification Using Multilayer Hidden Conditional Random Fields.
Proceedings of the Information Technology in Biomedicine, 2019

Transfer Learning Based Classification of Cervical Cancer Immunohistochemistry Images.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

2001
Efficient and robust vehicle localization.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Spatio-Temporal Segmentation for Video Surveillance.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Multi-level Human Tracking.
Proceedings of the Advances in Multimodal Interfaces, 2000


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