المؤلفون: Chongyang Cui, Shangchun Fan, Han Lei, Xiaolei Qu, Dezhi Zheng

المصدر: The Journal of Engineering (2019)

مصطلحات موضوعية: feature extraction, learning (artificial intelligence), medical image processing, patient diagnosis, cancer, neural nets, image classification, training data set, training set, pathology computer-assisted breast cancer analysis system, different pathological images, training data size, breast cancer pathology detection, pathological diagnosis, deep learning-based computer-assisted pathology analysis systems, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

العلاقة: https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9093Test; https://doaj.org/toc/2051-3305Test

الوصول الحر: https://doaj.org/article/f23398afd564478f98beef1798fdbcb9Test

المؤلفون: Dezhi Zheng, Shangchun Fan, Xiaolei Qu, Han Lei, Chongyang Cui

المصدر: The Journal of Engineering (2019)

مصطلحات موضوعية: Pathology, medicine.medical_specialty, training data set, Computer science, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Energy Engineering and Power Technology, training set, medical image processing, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, training data size, medicine, cancer, Set (psychology), different pathological images, 030304 developmental biology, 0303 health sciences, Contextual image classification, Artificial neural network, business.industry, feature extraction, Deep learning, General Engineering, Cancer, Workload, breast cancer pathology detection, medicine.disease, neural nets, ComputingMethodologies_PATTERNRECOGNITION, lcsh:TA1-2040, 030220 oncology & carcinogenesis, learning (artificial intelligence), pathological diagnosis, patient diagnosis, pathology computer-assisted breast cancer analysis system, Artificial intelligence, lcsh:Engineering (General). Civil engineering (General), business, deep learning-based computer-assisted pathology analysis systems, Software, image classification

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::587558a11e832cd0f5ffced643977969Test
https://doi.org/10.1049/joe.2018.9093Test