Payel Pramanik
Orcid: 0000-0002-6086-0681
According to our database1,
Payel Pramanik
authored at least 9 papers
between 2023 and 2024.
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Bibliography
2024
EU<sup>2</sup>-Net: A Parameter Efficient Ensemble Model With Attention-Aided Triple Feature Fusion for Tumor Segmentation in Breast Ultrasound Images.
IEEE Trans. Instrum. Meas., 2024
AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images.
CoRR, 2024
GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024
A Dual Attention-aided DenseNet-121 for Classification of Glaucoma from Fundus Images.
Proceedings of the 13th Mediterranean Conference on Embedded Computing, 2024
Awgunet: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Breast cancer detection in thermograms using a hybrid of GA and GWO based deep feature selection method.
Expert Syst. Appl., June, 2023
Deep feature selection using local search embedded social ski-driver optimization algorithm for breast cancer detection in mammograms.
Neural Comput. Appl., March, 2023
Gamma function based ensemble of CNN models for breast cancer detection in histopathology images.
Expert Syst. Appl., 2023