Combination of Image Enhancement and U-Net Architecture for Cervical Cell Semantic Segmentation
Cervical cancer is the second leading cause of death in women and ranks fourth as a
disease that occurs in women worldwide. Cervical cancer is a disease that is difficult to …
disease that occurs in women worldwide. Cervical cancer is a disease that is difficult to …
Diabetic Retinopathy Classification With Deep Learning via Fundus Images: A Short Survey
S Zhu, C Xiong, Q Zhong, Y Yao - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a microvascular disease that is associated with diabetes
mellitus. DR can cause irreversible vision loss and low vision. DR classification, that is, early …
mellitus. DR can cause irreversible vision loss and low vision. DR classification, that is, early …
Contrast enhancement of retinal images using green plan masking and whale optimization algorithm
A Bhuvaneswari, TM Devi - Wireless Personal Communications, 2022 - Springer
Contrast enhancement is considered as most significant pre-processing technique essential
for improving the quality of the medical image to carry out more detailed analysis. Various …
for improving the quality of the medical image to carry out more detailed analysis. Various …
[HTML][HTML] Hybrid adaptive method for lane detection of degraded road surface condition
KH Almotairi - Journal of King Saud University-Computer and …, 2022 - Elsevier
Lane detection on roads is essential for autonomous vehicles. Most previous studies
detected the area of the road and all possible lanes built on it, whereas only the specific lane …
detected the area of the road and all possible lanes built on it, whereas only the specific lane …
Optimal Luminosity and Contrast Reformation System for Retinal Fundus Image Intensity Enhancement
Image improvement is essential in various computer vision and image analysis applications.
These include healthcare, automotive, security and surveillance, retail and E-commerce …
These include healthcare, automotive, security and surveillance, retail and E-commerce …
A hybrid fusion method combining spatial image filtering with parallel channel network for retinal vessel segmentation
Retinography is a frequently used imaging method that aids in the clinical diagnosis of eye
disorders. Low contrast and being exposed to noise are the primary factors in degraded …
disorders. Low contrast and being exposed to noise are the primary factors in degraded …
[PDF][PDF] A Novel Ego Lanes Detection Method for Autonomous Vehicles.
B Bataineh - Intelligent Automation & Soft Computing, 2023 - cdn.techscience.cn
Autonomous vehicles are currently regarded as an interesting topic in the AI field. For such
vehicles, the lane where they are traveling should be detected. Most lane detection methods …
vehicles, the lane where they are traveling should be detected. Most lane detection methods …
Efficient retinal image enhancement using morphological operations
Manual analysis of retinal images is a complicated and time-consuming task for
ophthalmologists. Retinal images are susceptible to non-uniform illumination, poor contrast …
ophthalmologists. Retinal images are susceptible to non-uniform illumination, poor contrast …
[PDF][PDF] An integrated fundus image segmentation algorithm for multiple eye ailments
░ ABSTRACT-The detection of eye illnesses requires a thorough inspection of all of the
eye's structures. Most significantly, the presence of blood vessels, an optical disc, and any …
eye's structures. Most significantly, the presence of blood vessels, an optical disc, and any …
Early-stage Glaucoma Disease Prediction Using Ensemble Optimized Deep Learning Classifier Model.
Nowadays, retinal fundus images (RFI) play a crucial role in the early and exact prediction of
glaucoma. Glaucoma is a vision-threatening eye illness that primarily impairs the eye …
glaucoma. Glaucoma is a vision-threatening eye illness that primarily impairs the eye …