Payel Pramanik

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 9

Top Topics

Histopathology Images

Optical Coherence Tomography

Image Segmentation

Top Venues

Expert Syst. Appl.

IEEE Trans. Instrum. Meas.

Neural Comput. Appl.

Publications

Soham Chakraborty, Ayush Roy, Payel Pramanik, Daria Valenkova, Ram Sarkar
A Dual Attention-aided DenseNet-121 for Classification of Glaucoma from Fundus Images. CoRR (2024)
Ayush Roy, Payel Pramanik, Sohom Ghosal, Daria Valenkova, Dmitrii I. Kaplun, Ram Sarkar
GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation. MIUA (1) (2024)
Ayush Roy, Payel Pramanik, Ram Sarkar
-Net: A Parameter Efficient Ensemble Model With Attention-Aided Triple Feature Fusion for Tumor Segmentation in Breast Ultrasound Images. IEEE Trans. Instrum. Meas. 73 (2024)
Ayush Roy, Payel Pramanik, Sohom Ghosal, Daria Valenkova, Dmitry I. Kaplun, Ram Sarkar
GRU-Net for breast histopathology image segmentation. CoRR (2024)
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)
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 (2024)
Rishav Pramanik, Payel Pramanik, Ram Sarkar
Breast cancer detection in thermograms using a hybrid of GA and GWO based deep feature selection method. Expert Syst. Appl. 219 (2023)
Samriddha Majumdar, Payel Pramanik, Ram Sarkar
Gamma function based ensemble of CNN models for breast cancer detection in histopathology images. Expert Syst. Appl. 213 (Part) (2023)
Payel Pramanik, Souradeep Mukhopadhyay, Seyedali Mirjalili, Ram Sarkar
Deep feature selection using local search embedded social ski-driver optimization algorithm for breast cancer detection in mammograms. Neural Comput. Appl. 35 (7) (2023)