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Automatic Detection of Angiectasia: Evaluation of Deep Learning and Handcrafted Approaches In IEEE Conference on Biomedical and Health Informatics (BHI) 2018., 2018.
Deep Learning and Handcrafted Feature Based Approaches for Automatic Detection of Angiectasia In IEEE Conference on Biomedical and Health Informatics (BHI) 2018., 2018.
A comparison of deep learning with global features for gastrointestinal disease detection In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.
EIR: changing the scene of automatic detection software for gastrointestinal endoscopy In World Congress of GI Endoscopy, Edited by T. de Lange. Hyderabad, India: World Endoscopic Organisation, 2017.
From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System." ACM Transactions on Multimedia Computing, Communications, and Applications 13, no. 3 (2017).
from_annotation_to_computer-aided_diagnosis_detailed_evaluation_of_a_medical_multimedia_system.pdf (697.97 KB)
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A Holistic Multimedia System for Gastrointestinal Tract Disease Detection In 8th annual ACM conference on Multimedia Systems (MMSys), Edited by P. Cesar and C. Hsu. ACM, 2017.
p112-pogorelov.pdf (2.84 MB)

Kvasir: A Multi-Class Image-Dataset for Computer Aided Gastrointestinal Disease Detection In ACM Multimedia Systems. Taiwan: ACM, 2017.
Multimedia for medicine: the medico Task at mediaEval 2017 In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.
Nerthus: A Bowel Preparation Quality Video Dataset In ACM Multimedia Systems. Taipei: ACM, 2017.
Computer Aided Disease Detection System for Gastrointestinal Examinations In Multimedia Systems Conference 2016. New York: ACM, 2016.
Efficient Processing of Videos in a Multi Auditory Environment Using Device Lending of GPUs In The 7th International Conference on Multimedia Systems (MMSys). ACM, 2016.
a36-pogorelov.pdf (2.56 MB)

EIR - Efficient Computer Aided Diagnosis Framework for Gastrointestinal Endoscopies In International Workshop on Content-based Multimedia Indexing. IEEE / ACM, 2016.
Explorative Hyperbolic-Tree-Based Clustering Tool for Unsupervised Knowledge Discovery In International Workshop on Content-based Multimedia Indexing. IEEE / ACM, 2016.
GPU-accelerated Real-time Gastrointestinal Diseases Detection In CBMS 2016 : The 29th International Symposium on Computer-Based Medical Systems. IEEE, 2016.
Multimedia and Medicine: Teammates for Better Disease Detection and Survival In ACM Multimedia. Amsterdam, The Netherlands, The Netherlands: ACM, 2016.