mlsanityData to 14 Oct 2026

GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection

arXiv 2104.14528 ↗First posted 29 Apr 2021cs.CVcited by 26

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Abstract (arXiv)

In this paper, a multi-scale visual transformer model, referred as GasHis-Transformer, is proposed for Gastric Histopathological Image Detection (GHID), which enables the automatic global detection of gastric cancer images. GasHis-Transformer model consists of two key modules designed to extract global and local information using a position-encoded transformer model and a convolutional neural network with local convolution, respectively. A publicly available hematoxylin and eosin (H&E) stained gastric histopathological image dataset is used in the experiment. Furthermore, a Dropconnect based lightweight network is proposed to reduce the model size and training time of GasHis-Transformer for clinical applications with improved confidence. Moreover, a series of contrast and extended experiments verify the robustness, extensibility and stability of GasHis-Transformer. In conclusion, GasHis-Transformer demonstrates high global detection performance and shows its significant potential in GHID task.

Key facts. Cited by 26 papers in the map (data through 14 Oct 2026). Builds on 26 of its 42 references that are in the map. First posted on arXiv 29 Apr 2021.

Builds on

26 of 42 references.

References · 26

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Citing papers per year: 2021: 2; 2022: 8; 2023: 9; 2024: 2; 2025: 5.

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  1. 2022HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classificationcited by 30
  2. 2023A Recent Survey of Vision Transformers for Medical Image Segmentationcited by 23
  3. 2022An Aggregation of Aggregation Methods in Computational Pathologycited by 20
  4. 2022EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Taskscited by 15
  5. 2023Masked Pre-Training of Transformers for Histology Image Analysiscited by 12
  6. 2025Dynamic Accumulated Attention Map for Interpreting Evolution of Decision-Making in Vision Transformercited by 12
  7. 2022Vision Transformers in Medical Imaging: A Reviewcited by 8
  8. 2022Evaluating histopathology transfer learning with ChampKitcited by 7
  9. 2023Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensemblescited by 4
  10. 2021MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancercited by 3
  11. 2023LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology imagescited by 3
  12. 2021EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluationcited by 2
14 more
  1. 2022A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformercited by 2
  2. 2023CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological imagescited by 2
  3. 2023AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluationcited by 2
  4. 2023PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhagecited by 2
  5. 2025Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domainscited by 2
  6. 2022What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Reviewcited by 1
  7. 2022Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Featurescited by 1
  8. 2023ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regionscited by 1
  9. 2023Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival predictioncited by 0
  10. 2024Robust Ensemble Person Re-Identification via Orthogonal Fusion with Occlusion Handlingcited by 0
  11. 2024M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Predictioncited by 0
  12. 2025Leveraging Vision-Language Embeddings for Zero-Shot Learning in Histopathology Imagescited by 0
  13. 2025Interpretable Deep Learning Framework for Improved Disease Classification in Medical Imagingcited by 0
  14. 2025PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysiscited by 0