Composed image retrieval using contrastive learning and task-oriented clip-based features
Given a query composed of a reference image and a relative caption, the Composed Image
Retrieval goal is to retrieve images visually similar to the reference one that integrates the …
Retrieval goal is to retrieve images visually similar to the reference one that integrates the …
[PDF][PDF] Lung-Wise Tuberculosis Analysis and Automatic CT Report Generation with Hybrid Feature and Ensemble Learning.
This article presents the proposed methodology for tuberculosis analysis and generation of
the computerized report by using 3D Computed Tomography (CT) images, apropos to the …
the computerized report by using 3D Computed Tomography (CT) images, apropos to the …
Visual Question Answering using Data Mining Techniques for Skeletal Scintigraphy in medical domain-VQADMSS
Understanding about the medical images of patients is a very tedious task. Doctors should
convey their patient through the image of the questions asked by the patient. Large amounts …
convey their patient through the image of the questions asked by the patient. Large amounts …
[PDF][PDF] Medical Image Tagging
F Charalampakos, V Kougia - 2021 - nlp.cs.aueb.gr
Medical image classi cation is a very challenging and interesting task that has seen
incredible advancements with the use of deep learning approaches. This thesis addresses …
incredible advancements with the use of deep learning approaches. This thesis addresses …
[PDF][PDF] Ensemble of Deep Learning Models for Automatic Tuberculosis Diagnosis Using Chest CT Scans: Contribution to the ImageCLEF-2020 Challenges
U Cevik - 2020 - ceur-ws.org
Tuberculosis (TB) is a bacterial infection that mainly affects the lungs. It is a potentially
serious disease killing around 2 million people a year. Nevertheless, it can be cured if …
serious disease killing around 2 million people a year. Nevertheless, it can be cured if …