Performance comparison of our method with existing methods in image type identification.

<p>Performance comparison of our method with existing methods in image type identification.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Faqir Gul (20760068) (author)
مؤلفون آخرون:	Mohsin Shah (3144564) (author), Mushtaq Ali (3598514) (author), Lal Hussain (14100502) (author), Touseef Sadiq (20175797) (author), Adeel Ahmed Abbasi (20760071) (author), Mohammad Shahbaz Khan (17140693) (author), Badr S. Alkahtani (20760074) (author)
منشور في:	2025
الموضوعات:	Biochemistry Medicine Cell Biology Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified publicly available datasets performs efficient segmentation g ., x including imageclefmed 2013 image type identification facilitates fast retrieval panel image types irregular image layouts xlink "> multi significantly enhances sub represent approximately 50 patient &# 8217 novel hybrid framework panel images play irregular medical images panel image image retrieval irregular multi proposed framework imageclefmed 2016 hybrid multi consolidated image medical images medical literature medical diagnostics images serve various multi thorough representation paper presents morphological operations important tools extracting sub essential role ct scans consolidated multi component sub achieving accurate
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة