المؤلفون: Yaei Togawa, Yosuke Yamamoto, Hiroyuki Matsue

المصدر: JEADV Clinical Practice, Vol 3, Iss 1, Pp 214-218 (2024)

مصطلحات موضوعية: blocked‐up shadows, dermoscopy camera, near‐ultraviolet‐visible light, skin lesion diagnosis, ultraviolet photography, Dermatology, RL1-803, Diseases of the genitourinary system. Urology, RC870-923

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2768-6566

URL الوصول: https://doaj.org/article/f278284eec814990a656a0ff579bcf38

المؤلفون: Abir, Shake Ibna, Shaharina Shoha, Md Miraj Hossain, Syed Moshiur Rahman, Shariar Islam Saimon, Intiser Islam, Md Atikul Islam Mamun, Nazrul Islam Khan

المصدر: Journal of Computer Science and Technology Studies; Vol. 6 No. 5; 152-167 ; 2709-104X

مصطلحات موضوعية: Melanoma Classification, Deep Learning, Preprocessing Techniques, Dermatoscopic Images, and Skin Lesion Diagnosis

وصف الملف: application/pdf

Relation: https://al-kindipublisher.com/index.php/jcsts/article/view/8325/7097

الاتاحة: https://al-kindipublisher.com/index.php/jcsts/article/view/8325
https://doi.org/10.32996/jcsts.2024.6.5.13

المؤلفون: Ruifeng Bai, Mingwei Zhou

المصدر: Frontiers in Bioengineering and Biotechnology, Vol 10 (2023)

مصطلحات موضوعية: skin lesion diagnosis, dermoscopy images, skin lesion segmentation, deep convolutional neural network, SL-HarDNet, Biotechnology, TP248.13-248.65

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fbioe.2022.1028690/full; https://doaj.org/toc/2296-4185

URL الوصول: https://doaj.org/article/fac474208a064c009be9fc2bbcb89e00

المؤلفون: Benyahia, Samia, Meftah, Boudjelal, Lézoray, Olivier

المساهمون: Department of Computer Science (University of Mascara), Université Mustapha Stambouli de Mascara Algérie = University Mustapha Stambouli Mascara, Algeria (UMSM), Equipe Image - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)

المصدر: Pattern Recognition and Artificial Intelligence Third International Conference, ICPRAI 2022, Paris, France, June 1–3, 2022, Proceedings ; ICPRAI ; https://hal.science/hal-03688422 ; ICPRAI, Jun 2022, Paris, France. ⟨10.1007/978-3-031-09282-4_12⟩

مصطلحات موضوعية: Classification, Convolutional Neural Networks, Hierarchical Diagnosis, Skin Lesion Diagnosis, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]

جغرافية الموضوع: Paris, France

Relation: hal-03688422; https://hal.science/hal-03688422; https://hal.science/hal-03688422/document; https://hal.science/hal-03688422/file/ICPRAI_Benyahia.pdf

الاتاحة: https://hal.science/hal-03688422
https://hal.science/hal-03688422/document
https://hal.science/hal-03688422/file/ICPRAI_Benyahia.pdf
https://doi.org/10.1007/978-3-031-09282-4_12

المؤلفون: Maia, Fábio

مصطلحات موضوعية: Medical imaging, Deep learning, Convolutional neural network, Transfer learning, Skin lesion diagnosis, Binary classification

وصف الملف: application/pdf

الاتاحة: http://hdl.handle.net/10773/29408

المؤلفون: Li, Xiang

المساهمون: Fisher, Bob., Rees, Jonathan

مصطلحات موضوعية: 616.5, skin lesion diagnosis, melanoma, dermatology, classification

URL الوصول: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.563699

المؤلفون: Santos, Fábio Miguel Tomaz dos

المساهمون: Silva, Filipe Miguel Teixeira Pereira da, Georgieva, Pétia

مصطلحات موضوعية: Skin lesion diagnosis, Multi-class classification, Deep learning, Convolutional neural network, Transfer learning, Generalization performance

Relation: http://hdl.handle.net/10773/29604

الاتاحة: http://hdl.handle.net/10773/29604

المؤلفون: Santos, Fábio Miguel Tomaz dos

المساهمون: Silva, Filipe Miguel Teixeira Pereira da, Georgieva, Pétia

مصطلحات موضوعية: Skin lesion diagnosis, Multi-class classification, Deep learning, Convolutional neural network, Generalization performance, Transfer learning

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______2292::03d1e0da8a5f57fdcf3f64c43642f7aa
http://hdl.handle.net/10773/29604

المؤلفون: Maia, Fábio

المساهمون: Silva, Filipe Miguel Teixeira Pereira da, Georgieva, Pétia Georgieva

المصدر: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
CIÊNCIAVITAE

مصطلحات موضوعية: Skin lesion diagnosis, Deep learning, Convolutional neural network, Medical imaging, Binary classification, Transfer learning

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bca4d29f6f20fddafd328652c723407c

المؤلفون: Maia, Fábio

المساهمون: Silva, Filipe Miguel Teixeira Pereira da, Georgieva, Pétia Georgieva

مصطلحات موضوعية: Medical imaging, Deep learning, Convolutional neural network, Transfer learning, Skin lesion diagnosis, Binary classification

Relation: http://hdl.handle.net/10773/29408

الاتاحة: http://hdl.handle.net/10773/29408

المؤلفون: Katsch, Florian

مصطلحات موضوعية: automatisierte Diagnosesysteme für Hautläsionen, Bildklassifizierung, Objekterkennung, Instanzsegmentierung, ResNet, Faster R-CNN, Mask R-CNN, Dermatoskopie, Computerunterstützte Diagnose, Machine learning, Artefaktextrahierung, automated skin lesion diagnosis, image classification, object detection, instance segmentation, dermatoscopy, computer-aided diagnostic systems, artefact extraction

جغرافية الموضوع: Wien, QZ 360, WR 500, UMW:14533

وصف الملف: VI, 83 Seiten; text/html

Relation: vignette : https://repositorium.meduniwien.ac.at/titlepage/urn/urn:nbn:at:at-ubmuw:1-32614/128; urn:nbn:at:at-ubmuw:1-32614; https://resolver.obvsg.at/urn:nbn:at:at-ubmuw:1-32614; local:99145888680603331; system:AC16153000

الاتاحة: https://resolver.obvsg.at/urn:nbn:at:at-ubmuw:1-32614

المؤلفون: Pragati Rajendra Mahajan, Prof. Mrs. A. J. Vyavahare

المساهمون: The Pennsylvania State University CiteSeerX Archives

المصدر: http://www.ijireeice.com/upload/2013/december/1f-a-_Pragati_Mahajan-artefact.pdf.

مصطلحات موضوعية: Dermoscopy, Image Processing, Contrast Enhancement, Skin lesion diagnosis

وصف الملف: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.404.79; http://www.ijireeice.com/upload/2013/december/1f-a-_Pragati_Mahajan-artefact.pdf

الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.404.79
http://www.ijireeice.com/upload/2013/december/1f-a-_Pragati_Mahajan-artefact.pdf

المؤلفون: Santos, Fábio Miguel Tomaz dos

المساهمون: Silva, Filipe Miguel Teixeira Pereira da, Georgieva, Pétia

المصدر: CIÊNCIAVITAE
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

مصطلحات موضوعية: Skin lesion diagnosis, Multi-class classification, Deep learning, Convolutional neural network, Generalization performance, Transfer learning

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5e8ba62c42b30894b3ca095a6375246d
http://hdl.handle.net/10773/29604