no code implementations • 26 Apr 2024 • Areej Alsaafin, Peyman Nejat, Abubakr Shafique, Jibran Khan, Saghir Alfasly, Ghazal Alabtah, H. R. Tizhoosh
As an unsupervised method, SPLICE effectively reduces storage requirements for representing tissue images by 50%.
no code implementations • 6 Jan 2024 • Isaiah Lahr, Saghir Alfasly, Peyman Nejat, Jibran Khan, Luke Kottom, Vaishnavi Kumbhar, Areej Alsaafin, Abubakr Shafique, Sobhan Hemati, Ghazal Alabtah, Nneka Comfere, Dennis Murphee, Aaron Mangold, Saba Yasir, Chady Meroueh, Lisa Boardman, Vijay H. Shah, Joaquin J. Garcia, H. R. Tizhoosh
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.
no code implementations • 14 Nov 2023 • Saghir Alfasly, Abubakr Shafique, Peyman Nejat, Jibran Khan, Areej Alsaafin, Ghazal Alabtah, H. R. Tizhoosh
This paper addresses complex challenges in histopathological image analysis through three key contributions.
Breast Cancer Histology Image Classification Medical Image Retrieval +2
no code implementations • 4 Oct 2023 • Peyman Nejat, Areej Alsaafin, Ghazal Alabtah, Nneka Comfere, Aaron Mangold, Dennis Murphree, Patricija Zot, Saba Yasir, Joaquin J. Garcia, H. R. Tizhoosh
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.