| Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis | Feb 2, 2018 | Breast Cancer DetectionBreast Cancer Histology Image Classification | CodeCode Available | 0 | 5 |
| Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels | Oct 17, 2022 | Histopathological Image Classificationimage-classification | CodeCode Available | 0 | 5 |
| Magnification Generalization for Histopathology Image Embedding | Jan 18, 2021 | Breast Cancer Histology Image ClassificationClassification Of Breast Cancer Histology Images | CodeCode Available | 0 | 5 |
| Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT | Dec 3, 2023 | Caption GenerationDecoder | CodeCode Available | 0 | 5 |
| Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study | May 10, 2020 | Dimensionality ReductionDomain Generalization | CodeCode Available | 0 | 5 |
| Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings | Jul 2, 2021 | Histopathological Image Classificationimage-classification | CodeCode Available | 0 | 5 |
| CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification | Dec 12, 2023 | Contrastive LearningHistopathological Image Classification | CodeCode Available | 0 | 5 |
| Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem | Jul 10, 2020 | Dimensionality ReductionHistopathological Image Classification | CodeCode Available | 0 | 5 |
| Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches | Jul 4, 2020 | Dimensionality ReductionHistopathological Image Classification | CodeCode Available | 0 | 5 |
| Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks | Apr 5, 2020 | Classification Of Breast Cancer Histology ImagesDimensionality Reduction | CodeCode Available | 0 | 5 |
