Overview of the proposed deep learning and feature selection framework for bone marrow cell classification.

Overview of the proposed deep learning and feature selection framework for bone marrow cell classification.

<p>Overview of the proposed deep learning and feature selection framework for bone marrow cell classification.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Doaa Sami Khafaga (21463870) (author)
مؤلفون آخرون:	El-Sayed M. El-kenawy (14581088) (author), Faris H. Rizk (21755909) (author), Marwa M. Eid (11251630) (author), Ehsaneh Khodadadi (22146329) (author), Nima Khodadadi (14581091) (author)
منشور في:	2025
الموضوعات:	Biotechnology Sociology Hematology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified false negative rate effective feature selection driven deep learning deep learning models contributions include developing clinical diagnostics quantifiably average classification error automated cytology technology optimization also results metaheuristic optimization techniques enhancing cnn performance ocoa ), designed increases cnn accuracy ocotillo optimization hyperparameter optimization study introduces significantly reduced sensitivity increasing maximum accuracy innovative bio initial accuracy highly dependent findings highlight expert knowledge critical scenarios continuous version binary variant accurate solution 61 %), 48 %. 24 %. (+ 12 (+ 11
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

كن أول من يترك تعليقا!

Cannot write session to /tmp/vufind_sessions/sess_c2de8j8qj74rimjo4q9vmv80ns