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Investigating Use Cases of AI-Powered Scene Description Applications for Blind and Low Vision People
"Scene description" applications that describe visual content in a photo are useful daily tools for blind and low vision (BLV) people.
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.
A Preliminary Investigation into Search and Matching for Tumour Discrimination in WHO Breast Taxonomy Using Deep Networks
Searchable digital atlases can provide pathologists with patch matching tools allowing them to search among evidently diagnosed and treated archival cases, a technology that may be regarded as computational second opinion.
Immunohistochemistry Biomarkers-Guided Image Search for Histopathology
In this work, we are proposing a targeted image search approach, inspired by the pathologists workflow, which may use information from multiple IHC biomarker images when available.
Composite Biomarker Image for Advanced Visualization in Histopathology
In the first step, IHC biomarker images are aligned with the H&E images using one coordinate system and orientation.
