Enhancing fine retinal vessel segmentation: Morphological reconstruction and double thresholds filtering strategy
Eye diseases such as diabetic retinopathy are progressive with various changes in the
retinal vessels, and it is difficult to analyze the disease for future treatment. There are many …
retinal vessels, and it is difficult to analyze the disease for future treatment. There are many …
Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor Classification
Neurological and brain-related cancers are one of the main causes of death worldwide. A
commonly used tool in diagnosing these conditions is Magnetic Resonance Imaging (MRI) …
commonly used tool in diagnosing these conditions is Magnetic Resonance Imaging (MRI) …
[HTML][HTML] Enhancing ROP plus form diagnosis: An automatic blood vessel segmentation approach for newborn fundus images
J Almeida, J Kubicek, M Penhaker, M Cerny… - Results in …, 2024 - Elsevier
Abstract Background ROP Plus Form is an eye disease that can lead to blindness, and
diagnosing it requires medical experts to manually examine the retinal condition. This task is …
diagnosing it requires medical experts to manually examine the retinal condition. This task is …
Machine Learning Methods for Early Detection of Breast Cancer: A Short Review
Cancer, characterized by uncontrolled cell proliferation, is a significant global health
problem. Breast cancer, the most common cancer among women, can lead to reduced …
problem. Breast cancer, the most common cancer among women, can lead to reduced …
Improved Brain Tumor Segmentation and Classification in Brain MRI with FCM-SVM: A Diagnostic Approach
Cancer associated with the nervous system and brain tumors ranks among the leading
causes of death in various countries. Magnetic resonance imaging (MRI) and computed …
causes of death in various countries. Magnetic resonance imaging (MRI) and computed …
RVS-FDSC: A retinal vessel segmentation method with four-directional strip convolution to enhance feature extraction
L Kong, Y Wu - Biomedical Signal Processing and Control, 2024 - Elsevier
Retinal vessel segmentation is important to assist ophthalmologists in the diagnosis and
treatment of ophthalmic diseases. However, traditional convolutional neural networks …
treatment of ophthalmic diseases. However, traditional convolutional neural networks …
[PDF][PDF] Tin Lik Wong, and Timing Liu (2024) Advanced Retinal Blood Vessel Segmentation Technique in Comparison to Other Commonly Used Networks in the U-Net …
CYT Wong - mkscienceset.com
Segmenting retinal vessels is vital for automating the analysis of fundus images to screen
and diagnose various retinal vascular diseases, such as diabetic retinopathy, a common …
and diagnose various retinal vascular diseases, such as diabetic retinopathy, a common …