3 papers
eess.IV2024
GRU-Net: Gaussian Attention Aided Dense Skip Connection Based MultiResUNet for Breast Histopathology Image Segmentation
Ayush Roy, Payel Pramanik, Sohom Ghosal +3
Breast cancer is a major global health concern. Pathologists face challenges in analyzing complex features from pathological images, which is a time-consuming and labor-intensive t…
eess.IV2024
A Dual Attention-aided DenseNet-121 for Classification of Glaucoma from Fundus Images
Soham Chakraborty, Ayush Roy, Payel Pramanik +2
Deep learning and computer vision methods are nowadays predominantly used in the field of ophthalmology. In this paper, we present an attention-aided DenseNet-121 for classifying n…
cs.CV2024
AWGUNET: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images
Ayush Roy, Payel Pramanik, Dmitrii Kaplun +2
Accurate nuclei segmentation in histopathological images is crucial for cancer diagnosis. Automating this process offers valuable support to clinical experts, as manual annotation…