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| A comparative study between vision transformers and CNNs in digital pathology | Jun 1, 2022 | Inductive Biaswhole slide images | —Unverified | 0 |
| A review of machine learning approaches, challenges and prospects for computational tumor pathology | May 31, 2022 | BIG-bench Machine LearningData Integration | —Unverified | 0 |
| A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole Slide Pathological Images | May 5, 2022 | Deep Reinforcement LearningKnowledge Distillation | —Unverified | 0 |
| Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images | Apr 26, 2022 | DiagnosticMultiple Instance Learning | —Unverified | 0 |
| Contrastive learning-based computational histopathology predict differential expression of cancer driver genes | Apr 25, 2022 | Contrastive Learningwhole slide images | CodeCode Available | 0 |
| Colorectal cancer survival prediction using deep distribution based multiple-instance learning | Apr 24, 2022 | Deep LearningMultiple Instance Learning | —Unverified | 0 |
| Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification | Apr 22, 2022 | Cancer ClassificationMultiple Instance Learning | —Unverified | 0 |
| From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology | Apr 11, 2022 | BenchmarkingCancer Classification | CodeCode Available | 0 |
| Deep learning-based approach to reveal tumor mutational burden status from whole slide images across multiple cancer types | Apr 7, 2022 | whole slide images | —Unverified | 0 |