Linked e-resources
Details
Table of Contents
Cell counting with inverse distance kernel and self-supervised learning
Predicting the visual attention of pathologists evaluating whole slide images of cancer
Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation
Joint Denoising and Super-resolution for Fluorescence Microscopy using Weakly-supervised Deep Learning
MxIF Q-score: Biology-informed Quality Assurance for Multiplexed Immunofluorescence Imaging
A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology
Leukocyte Classification using Multimodal Architecture Enhanced by Knowledge Distillation
Deep learning on lossily compressed pathology images: adverse effects for ImageNet pre-trained models
Profiling DNA damage in 3D Histology Samples
Few-shot segmentation of microscopy images using Gaussian process
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation
Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data
Sequential multi-task learning for histopathology-based prediction of genetic mutations with extremely imbalanced labels
Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images
A Light-weight Interpretable Model for Nuclei Detection and Weakly-supervised Segmentation
A coarse-to-fine segmentation methodology based on deep networks for automated analysis of Cryptosporidium parasite from fluorescence microscopic images
Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-field Images
Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology Images.
Predicting the visual attention of pathologists evaluating whole slide images of cancer
Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation
Joint Denoising and Super-resolution for Fluorescence Microscopy using Weakly-supervised Deep Learning
MxIF Q-score: Biology-informed Quality Assurance for Multiplexed Immunofluorescence Imaging
A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology
Leukocyte Classification using Multimodal Architecture Enhanced by Knowledge Distillation
Deep learning on lossily compressed pathology images: adverse effects for ImageNet pre-trained models
Profiling DNA damage in 3D Histology Samples
Few-shot segmentation of microscopy images using Gaussian process
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation
Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data
Sequential multi-task learning for histopathology-based prediction of genetic mutations with extremely imbalanced labels
Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology Images
A Light-weight Interpretable Model for Nuclei Detection and Weakly-supervised Segmentation
A coarse-to-fine segmentation methodology based on deep networks for automated analysis of Cryptosporidium parasite from fluorescence microscopic images
Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-field Images
Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology Images.