Semantic Segmentation of Myeloid Cells on Blood Smears-Reference-Cited by-同舟云学术

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Semantic Segmentation of Myeloid Cells on Blood Smears

Published:2024-07-11 Issue: Volume: Page:278-283
ISSN:
Container-title:2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)
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Author:

Lazouni Leila Ryma¹,Benazzouz Mourtada²,Hadjila Fethallah¹,El Amine Lazouni Mohammed²

Affiliation:

1. Abou Bakr Belkaid Tlemcen,Computer Science Department,Tlemcen,Algeria

2. Abou Bakr Belkaid Tlemcen,Biomedical Engineering Department,Tlemcen,Algeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10638790/10638839/10638869.pdf?arnumber=10638869

Reference15 articles.

1. Modified U‐Net for cytological medical image segmentation

2. IRUNet for medical image segmentation

3. Skin lesion segmentation using fully convolutional networks: A comparative experimental study

4. Coronary angiography image segmentation based on PSPNet

5. SegNet-based left ventricular MRI segmentation for the diagnosis of cardiac hypertrophy and myocardial infarction

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