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مصطلحات موضوعية: FOS: Computer and information sciences, Pathology, medicine.medical_specialty, Speedup, business.industry, Computer science, Computer Vision and Pattern Recognition (cs.CV), Deep learning, Image and Video Processing (eess.IV), SIGNAL (programming language), Process (computing), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing, Annotation, Workflow, Region of interest, FOS: Electrical engineering, electronic engineering, information engineering, medicine, Segmentation, Artificial intelligence, business
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19ff84462f21cc9986a4ecdff5ec2d49
http://arxiv.org/abs/2108.13368 -
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المصدر: IEEE Journal of Biomedical and Health Informatics. 23:509-518
مصطلحات موضوعية: FOS: Computer and information sciences, Skin Neoplasms, Databases, Factual, Computer science, Property (programming), Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Dermoscopy, Health Informatics, 02 engineering and technology, Convolutional neural network, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Health Information Management, Discriminative model, Image Interpretation, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Humans, Segmentation, Saliency map, Electrical and Electronic Engineering, Skin, business.industry, Pattern recognition, Thresholding, Computer Science Applications, Random forest, Feature (computer vision), 020201 artificial intelligence & image processing, Supervised Machine Learning, Artificial intelligence, business, Algorithms
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5578cfe7a91e08782a9f8a0417a32bd9
https://doi.org/10.1109/jbhi.2018.2839647
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المؤلفون: Chunliang Wang, Chi-Hung Weng, Benjamin Chidester, Sihang Zhou, Gerald Schaefer, Debotosh Bhattacharjee, Xuhua Ren, Antanas Kascenas, Elad Arbel, Stefan Braunewell, Kailin Chen, Deepak Anand, Maria Gloria Bueno, Guanyu Cai, Peng Sun, Yanping Cui, Mostafa Jahanifar, Minh N. Do, Ali Gooya, Qian Wang, Linmin Pei, Minh-Triet Tran, Quoc Dang Vu, Valery Naranjo, Amir Ben-Dor, Adrián Colomer, Jin Tae Kwak, Alison O'Neil, Yanning Zhou, Ekaterina Sirazitdinova, Linlin Shen, Nasir M. Rajpoot, Baocai Yin, Ruchika Verma, Sabarinathan Devanathan, Dennis Eschweiler, Rupert Ecker, E. D. Tsougenis, Jian Ma, Raviteja Chunduri, Zihan Wu, Itay Remer, Kaushiki Roy, Amirreza Mahbod, Khan M. Iftekharuddin, Xinmei Tian, Neda Zamani Tajeddin, Isabella Ellinger, Corey Hu, Yuexiang Li, Jaegul Choo, Xiaojie Liu, Jun Ma, Dariush Lotfi, Erhardt Barth, Navid Alemi Koohbanani, Örjan Smedby, Simon Graham, Wei-Hsiang Yu, Omer Fahri Onder, Cheng-Kun Yang, Dinggang Shen, Yuqin Wang, Hao Chen, Pak-Hei Yeung, Xiaoyang Zhou, Reza Safdari, Pheng-Ann Heng, Shuang Yang, Zhiqiang Hu, Johannes Stegmaier, Amit Sethi, Akshaykumar Gunda, Chao-Yuan Yeh, Matthias Kohl, Jiahui Li, Shuoyu Xu, Mohammad Azam Khan, Xinpeng Xie, Praveen Koduganty, Neeraj Kumar, Philipp Gruening, Krishanu Das Baksi, Saravanan Radhakrishnan, That-Vinh Ton, Yunzhi Wang, Anibal Pedraza
المصدر: IEEE Transactions on Medical Imaging
مصطلحات موضوعية: Jaccard index, Watershed, Computer science, Color normalization, Machine learning, computer.software_genre, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Image Processing, Computer-Assisted, Humans, Segmentation, Electrical and Electronic Engineering, Cell Nucleus, Radiological and Ultrasound Technology, business.industry, Deep learning, Digital pathology, Image segmentation, Computer Science Applications, Test set, Artificial intelligence, Neural Networks, Computer, business, computer, Software
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44290c831558b95a1b8370aab73f3546
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المؤلفون: Neda Zamani Tajeddin, Babak Mohammadzadeh Asl
المصدر: Computer methods and programs in biomedicine. 163
مصطلحات موضوعية: Skin Neoplasms, Computer science, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Color, Health Informatics, Feature selection, Dermoscopy, 02 engineering and technology, Sensitivity and Specificity, 030218 nuclear medicine & medical imaging, Pattern Recognition, Automated, Lesion, 03 medical and health sciences, 0302 clinical medicine, Discriminative model, Image Interpretation, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, medicine, Image Processing, Computer-Assisted, Nevus, Humans, Segmentation, Diagnosis, Computer-Assisted, Melanoma, Models, Statistical, business.industry, Reproducibility of Results, Pattern recognition, medicine.disease, Atypical nevus, Computer Science Applications, 020201 artificial intelligence & image processing, Artificial intelligence, Skin cancer, medicine.symptom, business, Skin lesion, Classifier (UML), Software, Algorithms
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المؤلفون: Neda Zamani Tajeddin, Babak Mohammadzadeh Asl
المصدر: 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering (ICBME).
مصطلحات موضوعية: Pixel, Computer science, business.industry, Scale-space segmentation, 02 engineering and technology, Image segmentation, Thresholding, 030207 dermatology & venereal diseases, 03 medical and health sciences, Naive Bayes classifier, 0302 clinical medicine, Histogram, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Segmentation, Artificial intelligence, business, Image gradient
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6d16630f47ae2134f55bdc928310ad11
https://doi.org/10.1109/icbme.2016.7890944
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