Mitosis Detection in Breast Cancer Histological Images
نویسندگان
چکیده
1 Organizers • IPAL (UMI CNRS, IR/A*STAR, Université Joseph Fourier), Singapore – Ludovic Roux – Daniel Racoceanu – Nicolas Loménie – Maria Kulikova – Humayun Irshad • TRIBVN Company, Châtillon, France – Jacques Klossa • Pitié-Salpêtrière Hospital, Paris, France – Prof. Frédérique Capron – Dr. Catherine Genestie – Gilles Le Naour • The Ohio State Univerity, College of Medicine, School of Biomedical Science, USA – Metin Gurcan
منابع مشابه
Automated Mitosis Detection in Color and Multi-spectral High-Content Images in Histopathology: Application to Breast Cancer Grading in Digital Pathology
Digital pathology represents one of the major and challenging evolutions in modern medicine. Pathological exams constitute not only the gold standard in most of medical protocols, but also play a critical and legal role in the diagnosis process. Diagnosing a disease after manually analyzing numerous biopsy slides represents a labor-intensive work for pathologists. Thanks to the recent advances ...
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تاریخ انتشار 2012