AB-DeepLabv3+: An Encoder-Decoder Method with Attention Mechanism for Polyp Segmentation-Reference-Cited by-同舟云学术

AB-DeepLabv3+: An Encoder-Decoder Method with Attention Mechanism for Polyp Segmentation

Published:2023-08-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing
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Author:

Gupta Mayuri¹^ORCID,Mishra Ashish¹^ORCID

Affiliation:

1. Computer Science Engineering and Information Technology, Jaypee Institute of Information Technology, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3607947.3607997

Reference37 articles.

1. Breast Cancer Diagnosis in Histopathological Images Using ResNet-50 Convolutional Neural Network

2. Saruar Alam , Nikhil Kumar Tomar , Aarati Thakur , Debesh Jha , and Ashish Rauniyar . 2020 . Automatic polyp segmentation using U-Net-ResNet50 . In CEUR Workshop Proceedings, Vol. 2882 . arxiv:2012.15247https://arxiv.org/abs/2012.15247 Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, and Ashish Rauniyar. 2020. Automatic polyp segmentation using U-Net-ResNet50. In CEUR Workshop Proceedings, Vol. 2882. arxiv:2012.15247https://arxiv.org/abs/2012.15247

3. Deep learning based tissue analysis predicts outcome in colorectal cancer

4. MLDA-Unet:Multi Level Dual Attention Unet for Polyp Segmentation

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