| Regression Concept Vectors for Bidirectional Explanations in Histopathology | Apr 9, 2019 | Breast Cancer DetectionBreast Cancer Histology Image Classification | CodeCode Available | 0 |
| Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis | Feb 2, 2018 | Breast Cancer DetectionBreast Cancer Histology Image Classification | CodeCode Available | 0 |
| Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study | May 10, 2020 | Dimensionality ReductionDomain Generalization | CodeCode Available | 0 |
| C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification | Oct 30, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels | Oct 17, 2022 | Histopathological Image Classificationimage-classification | CodeCode Available | 0 |
| FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification | Jul 22, 2024 | DiagnosticHistopathological Image Classification | CodeCode Available | 0 |
| 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 |
| Magnification Generalization for Histopathology Image Embedding | Jan 18, 2021 | Breast Cancer Histology Image ClassificationClassification Of Breast Cancer Histology Images | CodeCode Available | 0 |
| Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings | Jul 2, 2021 | Histopathological Image Classificationimage-classification | CodeCode Available | 0 |
| Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem | Jul 10, 2020 | Dimensionality ReductionHistopathological Image Classification | CodeCode Available | 0 |
