(a) Orignal Image (b) Label Images (c) Pre-segmentation using Unet++.

<p>(a) Orignal Image (b) Label Images (c) Pre-segmentation using Unet++.</p>

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Bibliographic Details
Main Author:	Zahoor Jan (20077515) (author)
Other Authors:	Muhammad Shabir (781507) (author), Haleem Farman (4255924) (author), Afzal Rahman (9931393) (author), Moustafa M. Nasralla (19346637) (author)
Published:	2025
Subjects:	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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