المؤلفون: Abderaouf M. Moustari, Youcef Brik, Bilal Attallah, Rafik Bouaouina

المصدر: Automatika, Vol 65, Iss 3, Pp 1284-1299 (2024)

مصطلحات موضوعية: Gradient weighted class activation mapping, deep learning, diabetic retinopathy classification, two-stage system, image preprocessing, region of interest extration, Control engineering systems. Automatic machinery (General), TJ212-225, Automation, T59.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/0005-1144; https://doaj.org/toc/1848-3380

URL الوصول: https://doaj.org/article/059486ffb1a14cacbd7e6e9a2406f1cc

المؤلفون: Chaichana Suedumrong, Suriya Phongmoo, Tachanat Akarajaka, Komgrit Leksakul

المصدر: Applied Sciences, Vol 14, Iss 19, p 8823 (2024)

مصطلحات موضوعية: diabetic retinopathy classification, deep learning in medical imaging, convolutional neural networks (CNNs), image preprocessing techniques, automated diagnosis, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/19/8823; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/1e69521d889c49f7bc5048c6d7efb80c

المؤلفون: Moustari, Abderaouf M., Brik, Youcef, Moustari, Bilal, Bouaouina, Rafik

المصدر: Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije ; ISSN 0005-1144 (Print) ; ISSN 1848-3380 (Online) ; Volume 65 ; Issue 3

مصطلحات موضوعية: Gradient weighted class activation mapping, deep learning, diabetic retinopathy classification, two-stage system, image preprocessing, region of interest extration

وصف الملف: application/pdf

Relation: https://hrcak.srce.hr/326280

الاتاحة: https://hrcak.srce.hr/326280
https://hrcak.srce.hr/file/471655

المؤلفون: Jingbo Hu, Huan Wang, Le Wang, Ye Lu

المصدر: IEEE Access, Vol 10, Pp 119071-119083 (2022)

مصطلحات موضوعية: Diabetic retinopathy classification, graph adversarial network, transfer learning, intra-domain, inter-domain, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9943294/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/a203f97d00924ac2a69966ded3d0a545

المؤلفون: Li, Yihao, Daho, Mostafa El Habib, Conze, Pierre-Henri, Zeghlache, Rachid, Le Boité, Hugo, Bonnin, Sophie, Cosette, Deborah, Magazzeni, Stephanie, Lay, Bruno, Le Guilcher, Alexandre, Tadayoni, Ramin, Cochener, Béatrice, Lamard, Mathieu, Quellec, Gwenolé

المساهمون: Laboratoire de Traitement de l'Information Medicale (LaTIM), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Département lmage et Traitement Information (IMT Atlantique - ITI), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), Sorbonne Université (SU), Service d'ophthalmologie CHU Lariboisière, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Lariboisière-Fernand-Widal APHP, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Cité (UPCité), Carl Zeiss Meditec Inc, Dublin, California, United States, Société ADCIS, Evolucare Technologies, Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), ANR-18-RHUS-0008,EVIRED,Evaluation intelligente de la rétinopathie diabétique(2018)

المصدر: ISSN: 2075-4418 ; Diagnostics ; https://imt-atlantique.hal.science/hal-04186910 ; Diagnostics, 2023, 13 (17), pp.2770. ⟨10.3390/diagnostics13172770⟩.

مصطلحات موضوعية: diabetic retinopathy classification, multimodal information fusion, deep learning, computer-aided diagnosis, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

الاتاحة: https://imt-atlantique.hal.science/hal-04186910
https://imt-atlantique.hal.science/hal-04186910v1/document
https://imt-atlantique.hal.science/hal-04186910v1/file/diagnostics-13-02770-v3.pdf
https://doi.org/10.3390/diagnostics13172770

المؤلفون: Guanghua Zhang, Bin Sun, Zhaoxia Zhang, Jing Pan, Weihua Yang, Yunfang Liu

المصدر: Frontiers in Physiology, Vol 13 (2022)

مصطلحات موضوعية: diabetic retinopathy classification, multi-model, domain adaptation, convolutional neural network, deep learning, Physiology, QP1-981

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphys.2022.918929/full; https://doaj.org/toc/1664-042X

URL الوصول: https://doaj.org/article/3c2ba28e6590458f9db532ac10dcdf30

المؤلفون: Itika Garg, MD, Chibuike Uwakwe, Rongrong Le, MD, PhD, Edward S. Lu, BA, Ying Cui, MD, Karen M. Wai, MD, Raviv Katz, MS, Ying Zhu, MD, Jade Y. Moon, BA, Chloe Y. Li, MD, Inês Laíns, MD, PhD, Dean Eliott, MD, Tobias Elze, PhD, Leo A. Kim, MD, PhD, David M. Wu, MD, PhD, Joan W. Miller, MD, Deeba Husain, MD, Demetrios G. Vavvas, MD, PhD, John B. Miller, MD

المصدر: Ophthalmology Science, Vol 2, Iss 2, Pp 100144- (2022)

مصطلحات موضوعية: Diabetic retinopathy classification, Ischemia index, Nonperfusion area, OCT angiography, OCTA Quantitative vascular metrics, Ophthalmology, RE1-994

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666914522000331; https://doaj.org/toc/2666-9145

URL الوصول: https://doaj.org/article/836c78b855d243e284dc5a91269030d3

المؤلفون: Xinxing Feng, Shuai Zhang, Long Xu, Xin Huang, Yanyan Chen

المصدر: Applied Sciences, Vol 12, Iss 12071, p 12071 (2022)

مصطلحات موضوعية: supervised contrastive learning, diabetic retinopathy classification, convolutional neural network, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/12/23/12071; https://doaj.org/toc/2076-3417; https://doaj.org/article/4b3ba9382f544762a83d19a48739976f

الاتاحة: https://doi.org/10.3390/app122312071
https://doaj.org/article/4b3ba9382f544762a83d19a48739976f

المؤلفون: Wejdan L. Alyoubi, Maysoon F. Abulkhair, Wafaa M. Shalash

المصدر: Sensors; Volume 21; Issue 11; Pages: 3704

مصطلحات موضوعية: computer-aided diagnosis, convolutional neural networks, deep learning, diabetic retinopathy, diabetic retinopathy classification, diabetic retinopathy lesions localization, YOLO

وصف الملف: application/pdf

Relation: Biomedical Sensors; https://dx.doi.org/10.3390/s21113704

الاتاحة: https://doi.org/10.3390/s21113704

المؤلفون: Daho, Mostafa El Habib, Li, Yihao, Zeghlache, Rachid, Atse, Yapo Cédric, Le Boité, Hugo, Bonnin, Sophie, Cosette, Deborah, Deman, Pierre, Borderie, Laurent, Lepicard, Capucine, Tadayoni, Ramin, Cochener, Béatrice, Conze, Pierre-Henri, Lamard, Mathieu, Quellec, Gwenolé

المساهمون: Laboratoire de Traitement de l'Information Medicale (LaTIM), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Hôpital Fondation Adolphe de Rothschild = Adolphe de Rothschild Foundation Hospital, Carl Zeiss Meditec Inc, Dublin, California, United States, Evolucare Technologies, Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal Paris, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Département lmage et Traitement Information (IMT Atlantique - ITI), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), ANR-18-RHUS-0008,EVIRED,Evaluation intelligente de la rétinopathie diabétique(2018)

المصدر: Lecture Notes in Computer Science ; OMIA 2023: 10th International Workshop on Ophthalmic Medical Image Analysis ; https://imt-atlantique.hal.science/hal-04169377 ; OMIA 2023: 10th International Workshop on Ophthalmic Medical Image Analysis, Oct 2023, Vancouver (Canada), Canada. pp.11-20, ⟨10.1007/978-3-031-44013-7_2⟩

مصطلحات موضوعية: diabetic retinopathy classification, multimodal information fusion, deep learning, UWF-CFP, OCTA, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Time: Vancouver (Canada), Canada

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2310.01912v1; ARXIV: 2310.01912v1

الاتاحة: https://imt-atlantique.hal.science/hal-04169377
https://doi.org/10.1007/978-3-031-44013-7_2

المؤلفون: Santosh Nagnath Randive, Ranjan Kumar Senapati

المساهمون: Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)

المصدر: International Journal of Engineering and Advanced Technology (IJEAT), 9(2), 143-147, (2019-12-30)

مصطلحات موضوعية: Feature extraction, artificial neural network, Diabetic Retinopathy Classification

Relation: https://doi.org/10.35940/ijeat.B3115.129219; oai:zenodo.org:5598433

الاتاحة: https://doi.org/10.35940/ijeat.B3115.129219

المؤلفون: Li, Yihao

المساهمون: Laboratoire de Traitement de l'Information Medicale (LaTIM), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Université de Bretagne occidentale - Brest, Gwenolé Quellec

المصدر: https://theses.hal.science/tel-04556698 ; Human health and pathology. Université de Bretagne occidentale - Brest, 2023. English. ⟨NNT : 2023BRES0091⟩.

مصطلحات موضوعية: Diabetic retinopathy classification, Multimodal information fusion, Deep learning, Classification de la RD, Fusion d’informations multimodales, Apprentissage profond, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Relation: NNT: 2023BRES0091

الاتاحة: https://theses.hal.science/tel-04556698
https://theses.hal.science/tel-04556698v1/document
https://theses.hal.science/tel-04556698v1/file/These-2023-SVS-Analyse_et_traitement_de_l_information_et_des_images_medicales-LI_Yihao.pdf

المؤلفون: Wafaa M. Shalash, Maysoon F. Abulkhair, Wejdan L. Alyoubi

المصدر: Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 3704, p 3704 (2021)
Sensors; Volume 21; Issue 11; Pages: 3704

مصطلحات موضوعية: medicine.medical_specialty, Fundus Oculi, Fundus image, computer-aided diagnosis, convolutional neural networks, deep learning, diabetic retinopathy, diabetic retinopathy classification, diabetic retinopathy lesions localization, YOLO, 02 engineering and technology, TP1-1185, Biochemistry, Convolutional neural network, Article, 030218 nuclear medicine & medical imaging, Analytical Chemistry, Lesion, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, medicine, Diabetes Mellitus, Humans, Electrical and Electronic Engineering, Instrumentation, Diabetic Retinopathy, business.industry, Deep learning, Chemical technology, Retinal Vessels, Diabetic retinopathy, medicine.disease, Atomic and Molecular Physics, and Optics, Computer-aided diagnosis, Fully automatic, 020201 artificial intelligence & image processing, Radiology, Artificial intelligence, Localization system, medicine.symptom, business

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0aba0339a8f9ec9484996cbe58ce65cd
https://pubmed.ncbi.nlm.nih.gov/34073541

المؤلفون: Larsen, J N, Sjölie, A K

المصدر: Ugeskrift for Laeger. 165(30):2951

المؤلفون: Aujih, A.B., Izhar, L.I., Meriaudeau, F., Ibrahim Shapiai, Mohd

المساهمون: Universiti Teknologi PETRONAS (UTP)

المصدر: 2018 International Conference on Intelligent and Advanced System (ICIAS)
https://hal.science/hal-03527950
2018 International Conference on Intelligent and Advanced System (ICIAS), Aug 2018, Kuala Lumpur, Malaysia. pp.1-6, ⟨10.1109/ICIAS.2018.8540642⟩

مصطلحات موضوعية: Pre-trainned network, Vessel segmentation, Diabetic Retinopathy classification, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

جغرافية الموضوع: Kuala Lumpur, Malaysia

Relation: hal-03527950; https://hal.science/hal-03527950

الاتاحة: https://hal.science/hal-03527950
https://doi.org/10.1109/ICIAS.2018.8540642

المؤلفون: Bart Keymeulen, Trevor Orchard, Selcuk Dagdelen, Ivan I. Dedov, Veronique Kerlan, Steve Aldington, Massimo Porta, Ronald Klein, Peter Rossing

المساهمون: Pathology/molecular and cellular medicine, Diabetes Pathology & Therapy, Diabetes Clinic

المصدر: Sjølie, A K, Klein, R, Porta, M, Orchard, T, Fuller, J, Parving, H H, Bilous, R, Chaturvedi, N & Bek, T 2008, ' Effect of Candesartan on progression and regression of retinopathy in type 2 diabetes (DIRECT-Protect 2): a randomized placebo-controlled trial ', Lancet, vol. 18, no. 372, pp. 1385-93 .
Aarhus University
Sjølie, A K, Klein, R, Porta, M, Orchard, T, Fuller, J, Parving, H H, Bilous, R & Chaturvedi, N 2008, ' Effect of candesartan on progression and regression of retinopathy in type 2 diabetes (DIRECT-Protect 2) : a randomised placebo-controlled trial ', Lancet, vol. 372, no. 9647, pp. 1385-1393 . https://doi.org/10.1016/S0140-6736(08)61411-7

مصطلحات موضوعية: Adult, Male, medicine.medical_specialty, Endpoint Determination, Benzimidazoles/adverse effects, Endocrinology, Diabetes and Metabolism, Placebo-controlled study, Hypoglycemic Agents/therapeutic use, Type 2 diabetes, Placebo, Severity of Illness Index, law.invention, Hypertension/complications, Double-Blind Method, Randomized controlled trial, law, Internal medicine, medicine, Clinical endpoint, Humans, Aged, Dose-Response Relationship, Drug, business.industry, Diabetes Mellitus, Type 2/complications, Diabetic Retinopathy/classification, General Medicine, Diabetic retinopathy, Middle Aged, medicine.disease, Surgery, Candesartan, Female, Angiotensin II Type 1 Receptor Blockers/adverse effects, Tetrazoles/adverse effects, business, medicine.drug, Retinopathy

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fabf12d349f453d5cd8a4951501f25a
https://doi.org/10.1016/s0140-6736(08)61411-7

المؤلفون: Horii, Takahiro, Murakami, Tomoaki, Nishijima, Kazuaki, Sakamoto, Atsushi, Ota, Masafumi, Yoshimura, Nagahisa

المساهمون: 堀井, 崇弘, 村上, 智昭, 50549095, 70211662

مصطلحات موضوعية: Aged, 80 and over, Aneurysm/diagnosis, Diabetic Retinopathy/classification, Diabetic Retinopathy/diagnosis, Female, Fluorescein Angiography, Humans, Macular Edema/diagnosis, Male, Middle Aged, Retinal Vessels/pathology, Retrospective Studies, Tomography, Optical Coherence

وصف الملف: application/pdf

Relation: http://hdl.handle.net/2433/134569; AA00520855; American journal of ophthalmology; 150; 840; 848.e1

الاتاحة: http://hdl.handle.net/2433/134569

المؤلفون: Wong, TY, Wang, JJ, Klein, R, Mitchell, P, Cheung, N

مصطلحات موضوعية: Diabetes Mellitus, Type 2 - Blood, Diabetic Retinopathy - Classification - Diagnosis, Hemoglobin A, Glycosylated - Analysis, Humans, Risk Factors

Relation: American Journal of Ophthalmology; http://www.scopus.com/mlt/select.url?eid=2-s2.0-34548775822&selection=ref&src=s&origin=recordpage; American Journal Of Ophthalmology, 2007, v. 144 n. 4, p. 639-640; 640; WOS:000249937400027; eid_2-s2.0-34548775822; 639; http://hdl.handle.net/10722/183529; 144

الاتاحة: https://doi.org/10.1016/j.ajo.2007.06.015
http://hdl.handle.net/10722/183529

المؤلفون: Guillen Fernandez Micheltorena, Sara, Luca, Alberto de (Thesis Advisor)

مصطلحات الفهرس: Deep learning models for automated diabetic retinopathy classification lack certainty in predictions, crucial in clinical settings. Uncertainty estimation methods, including Evidential Deep Learning, are compared in a 5-class scheme. A novel evaluation framework uses a threshold-based system to distinguish training distribution images from others based on uncertainty estimates., Master Thesis, Student Thesis

URL: https://studenttheses.uu.nl/handle/20.500.12932/45994

المؤلفون: Guillen Fernandez Micheltorena, Sara, Luca, Alberto de (Thesis Advisor)

مصطلحات الفهرس: Deep learning models for automated diabetic retinopathy classification lack certainty in predictions, crucial in clinical settings. Uncertainty estimation methods, including Evidential Deep Learning, are compared in a 5-class scheme. A novel evaluation framework uses a threshold-based system to distinguish training distribution images from others based on uncertainty estimates., Master Thesis, Student Thesis

URL: https://studenttheses.uu.nl/handle/20.500.12932/44886