Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels
The presence of high blood sugar levels damages blood vessels and causes an eye
condition called diabetic retinopathy. The ophthalmologist can detect this disease by looking …
condition called diabetic retinopathy. The ophthalmologist can detect this disease by looking …
Data augmentation via warping transforms for modeling natural variability in the corneal endothelium enhances semi-supervised segmentation
Image segmentation of the corneal endothelium with deep convolutional neural networks
(CNN) is challenging due to the scarcity of expert-annotated data. This work proposes a data …
(CNN) is challenging due to the scarcity of expert-annotated data. This work proposes a data …
Cross-Subject Transfer Learning for Visual Processing in the Human Brain
LS Talukder - 2023 - search.proquest.com
In this work, we analyze cross-subject transfer learning (CSTL) for predicting fMRI-measured
brain activity in a target subject, using perceptual features of visual processing learned from …
brain activity in a target subject, using perceptual features of visual processing learned from …
Variable Intensity Patches With Swirls (VIPs): Novel Data Augmentation for Retinal Vessel Segmentation
PJS Sohi - 2024 - spectrum.library.concordia.ca
A significant problem in retinal vessel segmentation (RVS) research is overfitting mainly due
to the lack of large datasets. Data augmentation can alleviate this problem. Current …
to the lack of large datasets. Data augmentation can alleviate this problem. Current …
A Superimposed Divide-and-Conquer Image Recognition Method for SEM Images of Nanoparticles on The Surface of Monocrystalline silicon with High Aggregation …
R Xiao, J Niu - arXiv preprint arXiv:2206.01884, 2022 - arxiv.org
The nanoparticle size and distribution information in the SEM images of silicon crystals are
generally counted by manual methods. The realization of automatic machine recognition is …
generally counted by manual methods. The realization of automatic machine recognition is …
Decision Tree Fusion and Improved Fundus Image Classification Algorithm
X Wang, Y Qiu, X Chen, J Wu, Q Zou, N Mu - International Conference on …, 2022 - Springer
In order to improve the effect of glaucoma fundus image classification, a new algorithm
based on decision tree and UNet++ was proposed. Firstly, the image is divided into three …
based on decision tree and UNet++ was proposed. Firstly, the image is divided into three …
A hybrid segmentation scheme for improved dorsal hand vein recognition
WA Laghari - 2023 - eprints.uthm.edu.my
The dorsal hand vein (DHV) pattern is a highly secured biometric system that is significantly
used in many applications due to its uniqueness. Although it is a safe and secure means for …
used in many applications due to its uniqueness. Although it is a safe and secure means for …
Decision Tree Fusion and Improved Fundus Image Classification Algorithm
Q Zou, N Mu - Green, Pervasive, and Cloud Computing: 17th …, 2023 - books.google.com
In order to improve the effect of glaucoma fundus image classification, a new algorithm
based on decision tree and UNet++ was proposed. Firstly, the image is divided into three …
based on decision tree and UNet++ was proposed. Firstly, the image is divided into three …