| HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification | Jul 1, 2020 | DiagnosticGeneral Classification | —Unverified | 0 |
| IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach | Jun 7, 2022 | ClassificationHistopathological Image Classification | —Unverified | 0 |
| MS-GWNN:multi-scale graph wavelet neural network for breast cancer diagnosis | Dec 29, 2020 | Histopathological Image Classificationimage-classification | —Unverified | 0 |
| Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution | Jun 1, 2020 | feature selectionGeneral Classification | —Unverified | 0 |
| Self-distillation Augmented Masked Autoencoders for Histopathological Image Classification | Mar 31, 2022 | Cell SegmentationClassification | —Unverified | 0 |
| Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification | Apr 17, 2024 | ClassificationContrastive Learning | —Unverified | 0 |
| Texture CNN for Histopathological Image Classification | May 28, 2019 | ClassificationGeneral Classification | —Unverified | 0 |
| Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks | Apr 5, 2020 | Classification Of Breast Cancer Histology ImagesDimensionality Reduction | CodeCode Available | 0 |
| Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches | Jul 4, 2020 | Dimensionality ReductionHistopathological Image Classification | CodeCode Available | 0 |
| Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT | Dec 3, 2023 | Caption GenerationDecoder | CodeCode Available | 0 |
