A retinal vessel segmentation method based improved U-Net model
K Sun, Y Chen, Y Chao, J Geng, Y Chen - Biomedical Signal Processing …, 2023 - Elsevier
There are two problems in retinal blood vessel segmentation, which are the insufficient
segmentation of small vessels due to the complex curvature morphology of blood vessels …
segmentation of small vessels due to the complex curvature morphology of blood vessels …
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 …
Diabetic retinopathy prediction based on vision transformer and modified capsule network
Diabetic retinopathy is considered one of the most common diseases that can lead to
blindness in the working age, and the chance of developing it increases as long as a person …
blindness in the working age, and the chance of developing it increases as long as a person …
Multi Dimension Fuzzy C-means Color Image Segmentation Based on Intelligent Analysis Algorithm
C Ye, P Wang, PK Pareek - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
In our daily life, people often encounter some fuzzy problems, such as image segmentation,
digital filtering, etc. Therefore, this paper studies the color scene information compression …
digital filtering, etc. Therefore, this paper studies the color scene information compression …
Majority Voting as Ensemble Classifier for Cervical Cancer Classification
Cervical cancer is one of the deadliest female cancers. Early identification of cervical cancer
through pap smear cell image evaluation is one of the strategies to reduce cervical cancer …
through pap smear cell image evaluation is one of the strategies to reduce cervical cancer …
Lungs X-Ray Image Segmentation and Classification of Lung Disease using Convolutional Neural Network Architectures
B Suprihatin, Y Andriani… - MATRIK: Jurnal …, 2023 - journal.universitasbumigora.ac.id
Lung disease is one of the biggest causes of death in the world. The SARS-CoV-2 virus
causes diseases like COVID-19, and the bacteria Streptococcus sp., which causes …
causes diseases like COVID-19, and the bacteria Streptococcus sp., which causes …
BLOOD VESSEL SEGMENTATION IN RETINAL IMAGES USING CONVOLUTIONAL NEURAL NETWORK VV-NET METHOD
SB Agustina, E Erwin, A Desiani… - … Teknik Informatika (Jutif), 2024 - jutif.if.unsoed.ac.id
The retina is susceptible to various diseases that can be fatal if not treated quickly. Image
processing is currently very helpful for doctors to detect retinal diseases faster so that retinal …
processing is currently very helpful for doctors to detect retinal diseases faster so that retinal …
Clinical Perspectives on Retinal Image Processing Models: A Comprehensive Statistical Review
JS Mohan, LK Vishwamitra - … of Intelligent Systems and Applications in …, 2024 - ijisae.org
The field of retinal image processing is pivotal for early detection and treatment of retinal
diseases, major contributors to global vision impairment. Despite rapid advancements …
diseases, major contributors to global vision impairment. Despite rapid advancements …
Multi-Stage CNN: U-Net and Xcep-Dense of Glaucoma Detection in Retinal Images
Glaucoma is a chronic neurological disease in the human eye where there is damage to the
nerves which causes vision loss to blindness. Glaucoma can be detected by classifying …
nerves which causes vision loss to blindness. Glaucoma can be detected by classifying …
ROTATION-GAMMA CORRECTION AUGMENTATION ON CNN-DENSE BLOCK FOR SOIL IMAGE CLASSIFICATION
Soil is a solid-particle that covers the earth's surface. Soils can be classified based their
color. The color can be an indication of soil properties and soil conditions. Soil image …
color. The color can be an indication of soil properties and soil conditions. Soil image …