Impressive accuracy data.

<div><p>Breast cancer is highlighted in recent research as one of the most prevalent types of cancer. Timely identification is essential for enhancing patient results and decreasing fatality rates. Utilizing computer-assisted detection and diagnosis early on may greatly improve the chanc...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Mudhafar Jalil Jassim Ghrabat (22177655) (author)
مؤلفون آخرون:	Arkan A. Ghaib (22177658) (author), Auhood Al-Hossenat (22177661) (author), Zaid Ameen Abduljabbar (17729630) (author), Vincent Omollo Nyangaresi (17729636) (author), Junchao Ma (3684286) (author), Abdulla J. Y. Aldarwish (21439971) (author), Iman Qays Abduljaleel (17729633) (author), Dhafer G. Honi (22177664) (author), Husam A. Neamah (22177667) (author)
منشور في:	2025
الموضوعات:	Medicine Plant Biology Biological Sciences not elsewhere classified showing great promise may greatly improve invasive ductal carcinoma effective smote boost detect areas impacted decreasing fatality rates accurately predicting outcomes enhancing patient results affected tissue areas properly detecting idc whole slide pictures tissue patterns slide preparation results highlight work explores utilizing computer trials used treatment planning timely identification smo_cnn model research introduces recent research prevalent types intricate nature idc identification histopathology photos extract characteristics every model difficult owing diagnosis early deep learning created model assisted detection 49 images 162 individuals 113 photos
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Impressive accuracy data.

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