27 citations · 31 across the 4 of their papers we have counts for
4 papers · 1 filter
SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid Segmentation
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli +2
Accurately segmenting fluid in 3D optical coherence tomography (OCT) images is critical for detecting eye diseases but remains challenging. Traditional autoencoder-based methods st…
SWIN-SFTNet : Spatial Feature Expansion and Aggregation using Swin Transformer For Whole Breast micro-mass segmentation
Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli +2
Incorporating various mass shapes and sizes in training deep learning architectures has made breast mass segmentation challenging. Moreover, manual segmentation of masses of irregu…
Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images
Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli +2
Ophthalmic images may contain identical-looking pathologies that can cause failure in automated techniques to distinguish different retinal degenerative diseases. Additionally, rel…
Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography
Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli +3
Carrying out clinical diagnosis of retinal vascular degeneration using Fluorescein Angiography (FA) is a time consuming process and can pose significant adverse effects on the pati…