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08/26/2023
On Philomatics and Psychomatics for Combining Philosophy and Psychology with Mathematics
We propose the concepts of philomatics and psychomatics as hybrid combin...
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07/25/2023
An Investigation into Glomeruli Detection in Kidney H E and PAS Images using YOLO
Context: Analyzing digital pathology images is necessary to draw diagnos...
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04/24/2023
Immunohistochemistry Biomarkers-Guided Image Search for Histopathology
Medical practitioners use a number of diagnostic tests to make a reliabl...
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04/24/2023
Composite Biomarker Image for Advanced Visualization in Histopathology
Immunohistochemistry (IHC) biomarkers are essential tools for reliable c...
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07/29/2021
Automatic Multi-Stain Registration of Whole Slide Images in Histopathology
Joint analysis of multiple biomarker images and tissue morphology is imp...
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10/29/2020
Ink Marker Segmentation in Histopathology Images Using Deep Learning
Due to the recent advancements in machine vision, digital pathology has ...
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07/30/2020
A new Local Radon Descriptor for Content-Based Image Search
Content-based image retrieval (CBIR) is an essential part of computer vi...
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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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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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03/17/2019
Patch Clustering for Representation of Histopathology Images
Whole Slide Imaging (WSI) has become an important topic during the last ...
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03/17/2019
Deep Features for Tissue-Fold Detection in Histopathology Images
Whole slide imaging (WSI) refers to the digitization of a tissue specime...
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09/11/2018
Facial Recognition with Encoded Local Projections
Encoded Local Projections (ELP) is a recently introduced dense sampling ...
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10/11/2017
Local Radon Descriptors for Image Search
Radon transform and its inverse operation are important techniques 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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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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01/02/2017