Gland Segmentation in H&E Histopathological Images using U-Net with Attention Module-Reference-Cited by-同舟云学术

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Gland Segmentation in H&E Histopathological Images using U-Net with Attention Module

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA)
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Author:

Yildirim Zeynep¹,Samet Refik¹,Hancer Emrah²,Nemati Nooshin¹,Mali Mohamed Traore²

Affiliation:

1. Ankara University,Department of Computer Engineering,Ankara,Turkey,06830

2. Mehmet Akif Ersoy University,Department of Software Engineering,Burdur,Turkey,15030

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10319882/10319991/10320014.pdf?arnumber=10320014

Reference34 articles.

1. Effect of color normalization on nuclei segmentation problem in h&e stained histopathology images;y?ld?r?m;2022 30th Signal Processing and Communications Applications Conference (SIU),2022

2. Detection of Colorectal Cancer with Vision Transformers

3. ATTransUNet: An enhanced hybrid transformer architecture for ultrasound and histopathology image segmentation

4. Gleason Grading of Prostate Tumours with Max-Margin Conditional Random Fields

5. A comparative study of deep semantic segmentation architectures for mitosis detection in histopathology images;nemati;9ROXPH,2022

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1. Detection and margin assessment of thyroid carcinoma with microscopic hyperspectral imaging using transformer networks;Journal of Biomedical Optics;2024-07-24

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