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

[BibT_eX]

[DOI]

Weiming Hu

Xintong Li

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.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

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

[BibT_eX]

[DOI]

Pattern Recognit., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Islam Mohammad Shariful

CoRR, 2022

TOD-CNN: An effective convolutional neural network for tiny object detection in sperm videos.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2022

GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2022

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

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2022

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

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2022

Image Classification in Breast Histopathology Using Transfer and Ensemble Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Information Technology in Biomedicine - 9th International Conference, 2022

DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]