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

Transformers in Vision: A Survey

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DropConnect is effective in modeling uncertainty of Bayesian deep networks

(2021) Aryan Mobiny et al.   Scientific Reports

A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development

(2021) Shiliang Ai et al.   Biomed Research International

TransMed: Transformers Advance Multi-Modal Medical Image Classification

(2021) Yin Dai et al.   Diagnostics

Normalized class coherence change-based kNN for classification of imbalanced data

(2021) Kyoungok Kim   PATTERN RECOGNITION

A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers

(2021) Arka Ghosh et al.   PATTERN RECOGNITION

A comprehensive survey on model compression and acceleration

(2020) Tejalal Choudhary et al.   ARTIFICIAL INTELLIGENCE REVIEW

Top 10 Challenges in Cancer Immunotherapy

(2020) Priti S. Hegde et al.   IMMUNITY

Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning

(2020) Zhigang Song et al.   Nature Communications

Deep neural network models for computational histopathology: A survey

(2020) Chetan L. Srinidhi et al.   MEDICAL IMAGE ANALYSIS

RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification

(2019) Shujun Wang et al.   MEDICAL IMAGE ANALYSIS

A Dataset for Breast Cancer Histopathological Image Classification

(2016) Fabio A. Spanhol et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING