2 citations · 4 across the 11 of their papers we have counts for
4 papers · 1 filter
SRA: A Novel Method to Improve Feature Embedding in Self-supervised Learning for Histopathological Images
Hamid Manoochehri, Bodong Zhang, Beatrice S. Knudsen +1
Self-supervised learning has become a cornerstone in various areas, particularly histopathological image analysis. Image augmentation plays a crucial role in self-supervised learni…
DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention
Xiaoya Tang, Bodong Zhang, Beatrice S. Knudsen +1
We here propose a novel hierarchical transformer model that adeptly integrates the feature extraction capabilities of Convolutional Neural Networks (CNNs) with the advanced represe…
DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading
Man M. Ho, Elham Ghelichkhan, Yosep Chong +3
Latent Diffusion Models (LDMs) can generate high-fidelity images from noise, offering a promising approach for augmenting histopathology images for training cancer grading models.…
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation
Man M. Ho, Shikha Dubey, Yosep Chong +2
The Frozen Section (FS) technique is a rapid and efficient method, taking only 15-30 minutes to prepare slides for pathologists' evaluation during surgery, enabling immediate decis…