2 sonuçlar
Arama Sonuçları
Listeleniyor 1 - 2 / 2
Yayın Assessment of algorithms for mitosis detection in breast cancer histopathology images(Elsevier Science BV, 2015-02) Veta, Mitko; Van Diest, Paul J.; Willems, Stefan Martin; Wang, Haibo; Madabhushi, Anant; Cruz-Roa, Angel; Gonzalez, Fabio; Larsen, Anders Boesen Lindbo; Vestergaard, Jacob Schack Chack; Dahl, Anders Bjorholm; Cireşan, Dan Claudiu; Schmidhuber, Jürgen U.; Giusti, Alessandro; Gambardella, Luca M.; Tek, Faik Boray; Walter, Thomas C.; Wang, Chingwei; Kondo, Satoshi; Matuszewski, Bogdan J.; Precioso, Frédéric; Snell, Violet; Kittler, Josef; De Campos, Teofilo E.; Khan, Adnan M.; Rajpoot, Nasir Mahmood; Arkoumani, Evdokia; Lacle, Miangela M.; Viergever, Max A.; Pluim, Josien P WThe proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers. However, mitosis counting is laborious, subjective and may suffer from low inter-observer agreement. With the wider acceptance of whole slide images in pathology labs, automatic image analysis has been proposed as a potential solution for these issues.In this paper, the results from the Assessment of Mitosis Detection Algorithms 2013 (AMIDA13) challenge are described. The challenge was based on a data set consisting of 12 training and 11 testing subjects, with more than one thousand annotated mitotic figures by multiple observers. Short descriptions and results from the evaluation of eleven methods are presented. The top performing method has an error rate that is comparable to the inter-observer agreement among pathologists.Yayın Psychological distress of breast cancer survivors during the Covid-19 pandemic and related factors: a controlled study(KARE Publication, 2023-07) Taş, Beyza; Anuk, Dilek; Akçinar Yayla, BernaOBJECTIVE: Although the prevalence of breast cancer is high among women, survival rates are increasing. How-ever, breast cancer survivors (BCS) continue to experience various psychological problems after their treatments and are also exposed to additional stressors, such as the current Coronavirus disease 2019 (COVID-19) pandemic. The aim of this study was to examine the psychological distress and related factors (social support, intolerance of uncertainty, coping strategies) of BCS during the COVID-19 pandemic and the role of breast cancer diagnosis in this process. METHODS: This study included 95 BCS and 87 healthy women. Sociodemographic Information Form and depression anxiety stress scale, social support scale, intolerance of uncertainty scale, and coping strategies short form scales were administered to the participants. T tests and regression analyses were performed to examine the relationships between the variables. RESULTS: There was no significant difference between the two groups in terms of depression and anxiety, but the stress of BCS was lower than that of healthy women. In the regression analysis, the diagnosis of breast cancer was not a predictor for depression and anxiety, but it was a significant predictor for stress. Com-mon predictors of increased depression, anxiety, and stress were decreased social support, increased uncertainty intolerance, and increased emotion-focused coping. CONCLUSION: Focusing on the development of intolerance of uncertainty, social support, and problem-focused coping strategies of psychological interventions for women BCS during epidemics such as COVID-19 may reduce their psychological distress while maintaining and increasing their psychological well-being.
