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8 June 2023 Design and implementation of automated organ analysis: AttUneXt
Xiangmin Li, Minyan Xia, Zhiyong Zhou, Xu Zhang, Menghao Liu, Jiawei Chen, Weijie Shi
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Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 1270709 (2023) https://doi.org/10.1117/12.2681318
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China
Abstract
Histobiology, development and regeneration, disease modeling, organ transplantation technology improvement, drug discovery/efficacy evaluation, and pathology research can be carried out through the parameters such as morphology, size, and number of organ like organs. However, it takes a lot of time to manually count various parameters of organs. Therefore, here we propose a new semantic segmentation model, AttUneXt, for segmentation of adenocarcinoid organs. The dice of the model can reach 0.9. As can be seen, our proposed model achieves the effect of rapidly and precisely segmenting organoids.
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Xiangmin Li, Minyan Xia, Zhiyong Zhou, Xu Zhang, Menghao Liu, Jiawei Chen, and Weijie Shi "Design and implementation of automated organ analysis: AttUneXt", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 1270709 (8 June 2023); https://doi.org/10.1117/12.2681318
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KEYWORDS
Image segmentation
Convolution
Design and modelling
Semantics
Feature extraction
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