@inproceedings{7a26a6de189345dba60c280fe3658b93,
title = "Forming Local Intersections of Projections for Classifying and Searching Histopathology Images",
abstract = "In this paper, we propose a novel image descriptor called “Forming Local Intersections of Projections” (FLIP) and its multi-resolutional version (mFLIP) for representing histopathology images. The descriptor is based on the Radon transform wherein we apply parallel projections in small local neighborhoods of gray-level images. Using equidistant projection directions in each window, we extract unique and invariant characteristics of the neighborhood by taking the intersection of adjacent projections. Thereafter, we construct a histogram for each image, which we call the FLIP histogram. Various resolutions provide different FLIP histograms which are then concatenated to form the mFLIP descriptor. Our experiments included training common networks from scratch and fine-tuning pre-trained networks to benchmark our proposed descriptor. Experiments are conducted on the publicly available dataset KIMIA Path24 and KIMIA Path960. For both of these datasets, FLIP and mFLIP descriptors show promising results in all experiments. Using KIMIA Path24 data, FLIP outperformed non-fine-tuned Inception-v3 and fine-tuned VGG16 and mFLIP outperformed fine-tuned Inception-v3 in feature extracting.",
keywords = "Feature extraction, Image descriptors, Image search, Radon projections histopathology",
author = "Aditya Sriram and Shivam Kalra and Morteza Babaie and Brady Kieffer and Drobi, {W. Al} and Shahryar Rahnamayan and Hany Kashani and Tizhoosh, {Hamid R.}",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 18th International Conference on Artificial Intelligence in Medicine, AIME 2020 ; Conference date: 25-08-2020 Through 28-08-2020",
year = "2020",
doi = "10.1007/978-3-030-59137-3_21",
language = "English (US)",
isbn = "9783030591366",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "227--237",
editor = "Martin Michalowski and Robert Moskovitch",
booktitle = "Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Proceedings",
}