May 6, 2022 � Our results show that CheReS has a significant gain in identifying and retrieving similar X-ray cases compared to a traditional CBMIR approach,�...
Oct 1, 2021 � Multi-faceted System for Similarity Search of Chest X-rays. In The ... has proven effective for many chest X-ray-based applications [12].
CheReS: a deep learning-based multi-faceted system for similarity search of chest X-rays ... Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray�...
CheReS accomplishes that by employing two deep learning models: an unsupervised Autoencoder we trained to learn low-dimensional X-ray visual feature�...
Publication Results. CheReS : a deep learning-based multi-faceted system for similarity search of chest X-rays. Publication type: Conference Proceeding.
CheReS: a deep learning-based multi-faceted system for similarity search of chest X-rays. A Mbilinyi, H Schuldt. Proceedings of the 37th ACM/SIGAPP Symposium�...
CheReS: a deep learning-based multi-faceted system for similarity search of chest X-rays. Conference Paper. Apr 2022. Ashery Mbilinyi � Heiko�...
Jan 3, 2023 � Radiologists can visually inspect CXR images for the presence of diseases. Most thoracic diseases have very similar patterns, which makes�...
Missing: CheReS: faceted
Jul 5, 2024 � Our findings have indicated that this system can effectively analyze X-ray images to diagnose COVID-19, pneumonia, and tuberculosis.
Missing: CheReS: | Show results with:CheReS:
Sep 9, 2023 � The results show strong agreement between the EfficientNet B4 model and the human reader in detecting lung zone-wise and image-wise manifestations.
Missing: CheReS: faceted similarity