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Found 6 papers, 0 papers with code
Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision
We validate the proposed approaches on prostate cancer diagnosis from paired histopathology imaging and tabular clinical features.
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation
We also curate a histopathology meta dataset - a benchmark dataset for training and validating models on out-of-distribution performance across a range of cancer types.
Data Shapley Valuation for Efficient Batch Active Learning
In this work, we introduce Active Data Shapley (ADS) -- a filtering layer for batch active learning that significantly increases the efficiency of active learning by pre-selecting, using a linear time computation, the highest-value points from an unlabeled dataset.
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
The COVID-19 global pandemic has resulted in international efforts to understand, track, and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2-related publications across scientific disciplines.
Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning
Dense object detection and temporal tracking are needed across applications domains ranging from people-tracking to analysis of satellite imagery over time.
Affordances Provide a Fundamental Categorization Principle for Visual Scenes
Traditional models of visual perception posit that scene categorization is achieved through the recognition of a scene's objects, yet these models cannot account for the mounting evidence that human observers are relatively insensitive to the local details in an image.
