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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Dimitrios Marmanis, Wei Yao, Fathalrahman Adam |
| 2017 |
| arxiv 1711.02010 |
| Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification | Sharon Peled, Yosef E. Maruvka, Moti Freiman | 2024 | arxiv 2409.11119 |
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| 2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification | Jingwei Zhang, Anh Tien Nguyen, Xi Han | 2024 | arxiv 2412.00678 |
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| CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer | Xinran Li, Yu Liu, Xiujuan Xu | 2025 | arxiv 2505.11168 |
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| Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification | Weixi Zheng, Aoling Huang, Jingping Yuan | 2025 | arxiv 2503.06056 |
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| Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification | Nidhi Gowdra, Roopak Sinha, Stephen MacDonell | 2021 | arxiv 2105.04097 |
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| Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification | Conghao Xiong, Hao Chen, Joseph J.Y. Sung | 2023 | arxiv 2301.08125 |
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| The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification | Tianjun Xiao, Yichong Xu, Kuiyuan Yang | 2014 | arxiv 1411.6447 |
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| Image Classification of Grapevine Buds using Scale-Invariant Features Transform, Bag of Features and Support Vector Machines | Diego Sebastián Pérez, Facundo Bromberg, Carlos Ariel Diaz | 2016 | arxiv 1605.02775 |
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| Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification | Yash Sharma, Aman Shrivastava, Lubaina Ehsan | 2021 | arxiv 2103.10626 |
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| HADS-Net:A Hybrid Attention-Augmented Dual-Stream Network with Physics-Informed Augmentation for Breast Ultrasound Image Classification | Chinedu Emmanuel Mbonu, Blessing Nwamaka Iduh, Joseph Ikechukwu Odo | 2026 | arxiv 2605.20536 |
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| LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image Classification | Yonghan Shin, Won-Ki Jeong | 2026 | arxiv 2606.06864 |
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