Hongzan Sun
Orcid: 0000-0002-4724-5828
According to our database1,
Hongzan Sun
authored at least 48 papers
between 2000 and 2024.
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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
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
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
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
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
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
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
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
Proceedings of the 2001 International Conference on Image Processing, 2001
2000
Proceedings of the 15th International Conference on Pattern Recognition, 2000
Proceedings of the Advances in Multimodal Interfaces, 2000