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of 28
pro vyhledávání: '"Richard Berendt"'
Publikováno v:
Signal & Image Processing : An International Journal. 11:1-11
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Histopathological images are widely used to diagnose diseases such as skin cancer. As digital histopathological images are typically of very large size, in the order of several billion pixels, automated identification of abnormal cell nuclei and thei
Publikováno v:
Tissuecell. 73
Histopathological images are widely used to diagnose diseases including skin cancer. As digital histopathological images are typically of very large size, in the order of several billion pixels, automated identification of all abnormal cell nuclei an
Publikováno v:
Computer Science & Information Technology.
Histopathological images are widely used to diagnose diseases such as skin cancer. As digital histopathological images are typically of very large size, in the order of several billion pixels, automated identification of abnormal cell nuclei would be
Deep learning-based histopathological image analysis for automated detection and staging of melanoma
With recent advances in digital microscopy, quantitative analysis of pathology images has become important in disease diagnosis as well as in understanding the underlying reasons. Digital whole slide images (WSI) are typically obtained from a biopsy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9efec67cb77642faade042c2e60b0070
https://doi.org/10.1016/b978-0-12-819061-6.00010-0
https://doi.org/10.1016/b978-0-12-819061-6.00010-0
Autor:
Selam Ahderom, Kamal Alameh, Salah Alheejawi, Ashish Anand, Rangel Arthur, Muhammad Waseem Ashraf, Valentina Emilia Balas, Richard Berendt, Animesh Biswas, Mou De, Vijaypal Singh Dhaka, Reinaldo Padilha França, Bappaditya Ghosh, E.A. Gopalakrishnan, P. Gopika, Yuzo Iano, Vijay Jeyakumar, Naresh Jha, Anirban Kundu, Preethi Kurian, Cheng Lu, Swanirbhar Majumder, Mrinal Mandal, Navid Mavaddat, D.A. Meedeniya, Takhellambam Gautam Meitei, Ana Carolina Borges Monteiro, P. Naga Srinivasu, Ramesh Chandra Poonia, Nitesh Pradhan, Geeta Rani, Nivedita Ray De Sarkar, I.D. Rubasinghe, Subhashis Sahu, Sunil Kumar Sahu, Sinam Ajitkumar Singh, K.P. Soman, V. Sowmya, T. Srinivasa Rao, Muhammad Imran Tariq, Shahzadi Tayyaba, Valentina Tiporlini, Hongming Xu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b710e8dd51fdb07fe8ac7248bc03799
https://doi.org/10.1016/b978-0-12-819061-6.09992-4
https://doi.org/10.1016/b978-0-12-819061-6.09992-4
Autor:
Judith Hugh, Hua Yang, Richard Berendt, Gilbert Bigras, George Wood, Wei-Feng Dong, Sarah Canil
Publikováno v:
Applied Immunohistochemistry & Molecular Morphology
There is a pressing need for an objective decision tool to guide therapy for breast cancer patients that are estrogen receptor positive and HER2/neu negative. This subset of patients contains a mixture of luminal A and B tumors with good and bad outc
Publikováno v:
IEEE Transactions on Biomedical Engineering. 64:2475-2485
In the diagnosis of various cancers by analyzing histological images, automatic nuclear segmentation is an important step. However, nuclear segmentation is a difficult problem because of overlapping nuclei, inhomogeneous staining, and presence of noi
Publikováno v:
Micron. 97:56-67
Measurement of melanoma depth of invasion (DoI) in skin tissues is of great significance in grading the severity of skin disease and planning patient's treatment. However, accurate and automatic measurement of melanocytic tumor depth is a challenging
Publikováno v:
CCECE
Melanoma is the most dangerous type of skin cancer with aggressive and unpredictable behavior which can spread to any part of the body. The Proliferation Index (PI) in lymph node biopsy is an important indicator to determine the spread of the cancer