Overview of the ImageCLEF 2022: Multimedia retrieval in medical, social media and nature applications
This paper presents an overview of the ImageCLEF 2022 lab that was organized as part of
the Conference and Labs of the Evaluation Forum–CLEF Labs 2022. ImageCLEF is an …
the Conference and Labs of the Evaluation Forum–CLEF Labs 2022. ImageCLEF is an …
Overview of the ImageCLEF 2021: Multimedia retrieval in medical, nature, internet and social media applications
This paper presents an overview of the ImageCLEF 2021 lab that was organized as part of
the Conference and Labs of the Evaluation Forum–CLEF Labs 2021. ImageCLEF is an …
the Conference and Labs of the Evaluation Forum–CLEF Labs 2021. ImageCLEF is an …
Overview of ImageCLEFtuberculosis 2022: CT-based cavern detection and report
S Kozlovski, Y Dicente Cid, V Kovalev… - … 2022: Conference and …, 2022 - arodes.hes-so.ch
Résumé ImageCLEF is a part of the Conference and Labs of the Evaluation Forum (CLEF)
initiative and includes avariety of tasks dedicated to multimodal image information retrieval …
initiative and includes avariety of tasks dedicated to multimodal image information retrieval …
[PDF][PDF] UAIC2021: Lung Analysis for Tuberculosis Classification.
This article presents a methodology for chest CT scan analysis that enables the automatic
categorization of pulmonary tuberculosis cases into one of the following five types …
categorization of pulmonary tuberculosis cases into one of the following five types …
[PDF][PDF] Classification of Tuberculosis Type on CT Scans of Lungs using a fusion of 2D and 3D Deep Convolutional Neural Networks.
In this paper, we present a novel deep-learning-based method to deal with volumetric data
like CT scans. The method ensembles a 2-dimensional convolutional neural network (2D …
like CT scans. The method ensembles a 2-dimensional convolutional neural network (2D …
[PDF][PDF] Multi-Classification Study of the Tuberculosis with 3D CBAM-ResNet and EfficientNet.
The detection and characterization of tuberculosis along with the evaluation of tuberculosis
lesion characteristics are challenging. To provide a solution for this multi-classification task …
lesion characteristics are challenging. To provide a solution for this multi-classification task …
ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans
Pretraining has sparked groundswell of interest in deep learning workflows to learn from
limited data and improve generalization. While this is common for 2D image classification …
limited data and improve generalization. While this is common for 2D image classification …
[PDF][PDF] Caverns Detection and Caverns Report in Tuberculosis: lesion detection based on image using YOLO-V3 and median based multi-label multi-class …
T Asakawa, R Tsuneda, K Shimizu, T Komoda… - CLEF (Working …, 2022 - ceur-ws.org
Abstract The ImageCLEF 2022 Tuberculosis Task is an example of a challenging research
problem in the field of CT image analysis. The purpose of this research is to make lesion …
problem in the field of CT image analysis. The purpose of this research is to make lesion …
[PDF][PDF] Identifying tuberculosis type in CTs.
C Moisii, R Miron, M Breaban, G Faggioli, N Ferro… - CLEF (Working …, 2021 - ceur-ws.org
The paper proposes and compares two distinct approaches based on deep learning for
tuberculosis classification in CTs, highlighting the benefits of building the inference engine …
tuberculosis classification in CTs, highlighting the benefits of building the inference engine …
Imageclef 2022: multimedia retrieval in medical, nature, fusion, and internet applications
ImageCLEF s part of the Conference and Labs of the Evaluation Forum (CLEF) since 2003.
CLEF 2022 will take place in Bologna, Italy. ImageCLEF is an ongoing evaluation initiative …
CLEF 2022 will take place in Bologna, Italy. ImageCLEF is an ongoing evaluation initiative …