Multi parallel U-net encoder network for effective polyp image segmentation
H Al Jowair, M Alsulaiman, G Muhammad - Image and Vision Computing, 2023 - Elsevier
Automating polyps' detection and segmentation is very helpful in achieving early detection
and potentially effective treatment of colon cancer. Because of the constant rise in …
and potentially effective treatment of colon cancer. Because of the constant rise in …
Deep ensemble learning for automated non-advanced AMD classification using optimized retinal layer segmentation and SD-OCT scans
Background Accurate retinal layer segmentation in optical coherence tomography (OCT)
images is crucial for quantitatively analyzing age-related macular degeneration (AMD) and …
images is crucial for quantitatively analyzing age-related macular degeneration (AMD) and …
Large area kidney imaging for pre-transplant evaluation using real-time robotic optical coherence tomography
Optical coherence tomography (OCT) can be used to image microstructures of human
kidneys. However, current OCT probes exhibit inadequate field-of-view, leading to …
kidneys. However, current OCT probes exhibit inadequate field-of-view, leading to …
Opto-UNet: optimized UNet for segmentation of varicose veins in optical coherence tomography
M Viqar, V Madjarova, V Baghel… - 2022 10th European …, 2022 - ieeexplore.ieee.org
Human veins are important for carrying the blood from the body-parts to the heart. The
improper functioning of the human veins may arise from several venous diseases. Varicose …
improper functioning of the human veins may arise from several venous diseases. Varicose …
Comparative Analysis of Machine Learning Models for Predicting Viscosity in Tri-n-Butyl Phosphate Mixtures Using Experimental Data
Tri-n-butyl phosphate (TBP) is essential in the chemical industry for dissolving and purifying
various inorganic acids and metals, especially in hydrometallurgical processes. Recent …
various inorganic acids and metals, especially in hydrometallurgical processes. Recent …
Radiomics in Kidney Transplantation: A Scoping Review of Current Applications, Limitations, and Future Directions
Radiomics is increasingly applied to the diagnosis, management, and outcome prediction of
various urological conditions. The purpose of this scoping review is to evaluate the current …
various urological conditions. The purpose of this scoping review is to evaluate the current …
Automatic and real-time tissue sensing for autonomous intestinal anastomosis using hybrid MLP-DC-CNN classifier-based optical coherence tomography
Anastomosis is a common and critical part of reconstructive procedures within
gastrointestinal, urologic, and gynecologic surgery. The use of autonomous surgical robots …
gastrointestinal, urologic, and gynecologic surgery. The use of autonomous surgical robots …
Multi‐focal channel attention for medical image segmentation
H Al Jowair, M Alsulaiman, G Muhammad - Expert Systems, 2024 - Wiley Online Library
Medical image segmentation through the use of deep learning is becoming a trend targeting
to automate disease detection and provide effective treatment. Traditionally huge manual …
to automate disease detection and provide effective treatment. Traditionally huge manual …
Comparison of Different Machine Learning Approaches to Predict Viscosity of Tri-n-Butyl Phosphate Mixtures Using Experimental Data
Tri-n-butyl phosphate (TBP) is a solvent that is commonly used in a variety of industries,
including the nuclear and chemical industries, for its ability to dissolve and purify various …
including the nuclear and chemical industries, for its ability to dissolve and purify various …
COMPUTATIONAL MODELING AND MACHINE LEARNING METHODS FOR ADVANCING HEALTHCARE: MEDICAL IMAGE ANALYSIS AND MODEL VALIDATION …
M Moradi - 2024 - scholarworks.umass.edu
In the past decade, there has been notable progress in machine learning (ML) and
mathematical models aimed at enhancing healthcare. These advancements offer the …
mathematical models aimed at enhancing healthcare. These advancements offer the …