Quantitative results of three algorithms.

<div><p>Medical image segmentation has numerous applications in diagnosing different diseases. Various types of diseases are found in white blood and Red blood cells. This paper represents the segmentation of WBCs from blood smear images. It is a complex and challenging task due to the f...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Zahoor Jan (20077515) (author)
مؤلفون آخرون:	Muhammad Shabir (781507) (author), Haleem Farman (4255924) (author), Afzal Rahman (9931393) (author), Moustafa M. Nasralla (19346637) (author)
منشور في:	2025
الموضوعات:	Medicine Cell Biology Biotechnology Developmental Biology Hematology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified proposed system unique jaccard method ), experimentation results show dice similarity coefficient care remote diagnostics smart healthcare systems cost health devices red blood cells marker watershed method marker watershed algorithm blood smear images reduce computational complexity make groups appearing final segmented result challenging task due white blood cells 97 %, respectively 73 %, 98 mean pixel accuracy integrated using ode diagnosing different diseases marker watershed white blood immature cells 36 %, separated using resource devices mean intersection grayscale images existing systems work different various types technique called rough border paper represents paper describes optimizing deployment ode ). numerous applications new approach memory space massive propagation lightweight version improving accuracy gives us experiment section disease monitoring diagnostic imaging convolution operation all_idb2 datasets
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Quantitative results of three algorithms.

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