Early detection of cervical cancer - [ LEAFLET ]
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Penelitian ini bertujuan untuk mengetahui efek pendidikan kesehatan komunitas terhadap pengetahuan, ketrampilan dan penerimaan tentang program deteksi dini kanker
Berdasarkan tujuan dan hasil penelitian pada 20 responden kelompok perlakuan dan 20 responden kelompok kontrol tentang pengaruh pemberian pendidikan kesehatan
While LEEP is technically easier, less time consuming, and less bleeding, it may cause electrocauter artifacts that makes histopathologic evaluation of tumor margin difficult.34,35 It
To conclude, despite the huge advances in cancer pre- vention in industrialized countries in recent decades, specialist advice and expertise have not kept pace with the rapid changes in
The results of accuracy tests of early detection process of breast cancer using CNN by utilizing Data Augmentation and Transfer Learning show several findings: Model VGG-16, Model
The proposed deep-learning algorithm It is well known that the deep-learning model is based on building a trained dataset using the training model and diagnosing the test images using
"Management of low- risk early-stage cervical cancer: Should conization, simple trachelectomy, or simple hysterectomy replace radical surgery as the new standard of care?", Gynecologic
