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Payel Pramanik
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2020 – today
- 2024
- [j4]Ayush Roy
, Payel Pramanik
EU2-Net: A Parameter Efficient Ensemble Model With Attention-Aided Triple Feature Fusion for Tumor Segmentation in Breast Ultrasound Images. IEEE Trans. Instrum. Meas. 73: 1-7 (2024) - [c3]Ayush Roy, Payel Pramanik, Dmitrii Kaplun, Sergei Antonov, Ram Sarkar:
Awgunet: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images. ISBI 2024: 1-4 - [c2]Soham Chakraborty, Ayush Roy, Payel Pramanik, Daria Valenkova, Ram Sarkar:
A Dual Attention-aided DenseNet-121 for Classification of Glaucoma from Fundus Images. MECO 2024: 1-4 - [c1]Ayush Roy
GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation. MIUA (1) 2024: 300-313 - [i3]Ayush Roy, Payel Pramanik, Dmitrii I. Kaplun, Sergei Antonov, Ram Sarkar
AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images. CoRR abs/2406.08425 (2024) - [i2]Ayush Roy, Payel Pramanik, Sohom Ghosal, Daria Valenkova, Dmitry I. Kaplun, Ram Sarkar
GRU-Net for breast histopathology image segmentation. CoRR abs/2406.08604 (2024) - [i1]Soham Chakraborty, Ayush Roy, Payel Pramanik, Daria Valenkova, Ram Sarkar:
A Dual Attention-aided DenseNet-121 for Classification of Glaucoma from Fundus Images. CoRR abs/2406.15113 (2024) - 2023
- [j3]Samriddha Majumdar
Gamma function based ensemble of CNN models for breast cancer detection in histopathology images. Expert Syst. Appl. 213(Part): 119022 (2023) - [j2]Rishav Pramanik
Breast cancer detection in thermograms using a hybrid of GA and GWO based deep feature selection method. Expert Syst. Appl. 219: 119643 (2023) - [j1]Payel Pramanik
Deep feature selection using local search embedded social ski-driver optimization algorithm for breast cancer detection in mammograms. Neural Comput. Appl. 35(7): 5479-5499 (2023)
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