5 papers
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…
A Wavelet Guided Attention Module for Skin Cancer Classification with Gradient-based Feature Fusion
Ayush Roy, Sujan Sarkar, Sohom Ghosal +3
Skin cancer is a highly dangerous type of cancer that requires an accurate diagnosis from experienced physicians. To help physicians diagnose skin cancer more efficiently, a comput…
FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays
Ayush Roy, Anurag Bhattacharjee, Diego Oliva +3
Pneumonia is a respiratory infection caused by bacteria, fungi, or viruses. It affects many people, particularly those in developing or underdeveloped nations with high pollution l…
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…
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…