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05/07/2020
Recognizing Magnification Levels in Microscopic Snapshots
Recent advances in digital imaging has transformed computer vision and m...
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04/16/2020
Representation Learning of Histopathology Images using Graph Neural Networks
Representation learning for Whole Slide Images (WSIs) is pivotal in deve...
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11/20/2019
Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence
The emergence of digital pathology has opened new horizons for histopath...
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11/18/2019
Learning Permutation Invariant Representations using Memory Networks
Many real world tasks such as 3D object detection and high-resolution im...
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03/05/2019
Automatic Classification of Pathology Reports using TF-IDF Features
A Pathology report is arguably one of the most important documents in me...
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10/11/2017
Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks
We explore the problem of classification within a medical image data-set...
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09/27/2017
A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images
Despite the progress made in the field of medical imaging, it remains a ...
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09/27/2017
Skin Lesion Segmentation: U-Nets versus Clustering
Many automatic skin lesion diagnosis systems use segmentation as a prepr...
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09/27/2017
Learning Autoencoded Radon Projections
Autoencoders have been recently used for encoding medical images. In thi...
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05/22/2017
Classification and Retrieval of Digital Pathology Scans: A New Dataset
In this paper, we introduce a new dataset, Kimia Path24, for image class...
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09/16/2016