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Found 7 papers, 1 papers with code
SPLICE -- Streamlining Digital Pathology Image Processing
As an unsupervised method, SPLICE effectively reduces storage requirements for representing tissue images by 50%.
Analysis and Validation of Image Search Engines in Histopathology
Searching for similar images in archives of histology and histopathology images is a crucial task that may aid in patient matching for various purposes, ranging from triaging and diagnosis to prognosis and prediction.
Selection of Distinct Morphologies to Divide & Conquer Gigapixel Pathology Images
We assess the representativeness of the SDM montage across various public and private histopathology datasets.
Rotation-Agnostic Image Representation Learning for Digital Pathology
This paper addresses complex challenges in histopathological image analysis through three key contributions.
Breast Cancer Histology Image Classification
Medical Image Retrieval
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When is a Foundation Model a Foundation Model
Recently, several studies have reported on the fine-tuning of foundation models for image-text modeling in the field of medicine, utilizing images from online data sources such as Twitter and PubMed.
OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment
However, estimating object rotation with respect to other visual objects in the visual context of an input image still lacks deep studies due to the unavailability of object datasets with rotation annotations.
Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos
However, effectively leveraging the audio modality in vision-specific annotated videos for action recognition is of particular challenge.
