9 citations · 20 across the 7 of their papers we have counts for
3 papers · 1 filter
Towards Machine Learning-based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection
David Black, Declan Byrne, Anna Walke +6
Complete resection of malignant gliomas is hampered by the difficulty in distinguishing tumor cells at the infiltration zone. Fluorescence guidance with 5-ALA assists in reaching t…
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification
Litao Yang, Deval Mehta, Sidong Liu +3
Digital pathology based on whole slide images (WSIs) plays a key role in cancer diagnosis and clinical practice. Due to the high resolution of the WSI and the unavailability of pat…
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification
Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash +5
Whole Slide Images (WSIs) or histopathology images are used in digital pathology. WSIs pose great challenges to deep learning models for clinical diagnosis, owing to their size and…