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Found 8 papers, 0 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.
Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review
The aim of this systematic review was to assess the performance of externally validated ML models based on histopathology images for diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer.
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
This paper discusses some overlooked challenges faced when working with machine learning models for histopathology and presents a novel opportunity to support "Learning Health Systems" with them.
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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Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection
While most of the computational pathology tasks are designed to classify or detect the presence of pathological lesions in each WSI, the confounding role and redundant nature of normal histology in tissue samples are generally overlooked in WSI representations.
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.
