Payel Pramanik

According to our database, Payel Pramanik authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

EU²-Net: A Parameter Efficient Ensemble Model With Attention-Aided Triple Feature Fusion for Tumor Segmentation in Breast Ultrasound Images.

Ayush Roy, Payel Pramanik, Ram Sarkar

IEEE Trans. Instrum. Meas., 2024

GRU-Net for breast histopathology image segmentation.

Ayush Roy, Payel Pramanik, Sohom Ghosal, Daria Valenkova, Dmitry I. Kaplun, Ram Sarkar

CoRR, 2024

GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation.

Ayush Roy, Payel Pramanik, Sohom Ghosal, Daria Valenkova, Dmitrii I. Kaplun, Ram Sarkar

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.

Soham Chakraborty, Ayush Roy, Payel Pramanik, Daria Valenkova, Ram Sarkar

Proceedings of the 13th Mediterranean Conference on Embedded Computing, 2024

Awgunet: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images.

Ayush Roy, Payel Pramanik, Dmitrii I. Kaplun, Sergei Antonov, Ram Sarkar

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.

Rishav Pramanik, Payel Pramanik, Ram Sarkar

Expert Syst. Appl., June, 2023

Deep feature selection using local search embedded social ski-driver optimization algorithm for breast cancer detection in mammograms.

Payel Pramanik, Souradeep Mukhopadhyay, Seyedali Mirjalili, Ram Sarkar

Neural Comput. Appl., March, 2023

Gamma function based ensemble of CNN models for breast cancer detection in histopathology images.

Samriddha Majumdar, Payel Pramanik, Ram Sarkar

Expert Syst. Appl., 2023