Multi-features extraction based on deep learning for skin lesion classification
For various forms of skin lesion, many different feature extraction methods have been
investigated so far. Indeed, feature extraction is a crucial step in machine learning …
investigated so far. Indeed, feature extraction is a crucial step in machine learning …
Multitasking deep learning model for detection of five stages of diabetic retinopathy
Early diagnosis and treatment of diabetic retinopathy (DR) can reduce the risk of vision loss.
There are five stages of DR consisting of no DR, mild DR, moderate DR, severe DR, and …
There are five stages of DR consisting of no DR, mild DR, moderate DR, severe DR, and …
A review of real-time human action recognition involving vision sensing
Human action recognition has been utilized in many applications such as human-computer
interaction, video surveillance, assistive living, and gaming. Deployment of human action …
interaction, video surveillance, assistive living, and gaming. Deployment of human action …
Deep learning-enhanced diabetic retinopathy image classification
Objective Diabetic retinopathy (DR) can sometimes be treated and prevented from causing
irreversible vision loss if caught and treated properly. In this work, a deep learning (DL) …
irreversible vision loss if caught and treated properly. In this work, a deep learning (DL) …
Non-invasive imaging of interstitial fluid transport parameters in solid tumors in vivo
In this paper, new and non-invasive imaging methods to assess interstitial fluid transport
parameters in tumors in vivo are developed, analyzed and experimentally validated. These …
parameters in tumors in vivo are developed, analyzed and experimentally validated. These …
Estimation of mechanical and transport parameters in cancers using short time poroelastography
Mechanical and transport properties of cancers such as Young's modulus (YM), Poisson's
ratio (PR), and vascular permeability (VP) have great clinical importance in cancer …
ratio (PR), and vascular permeability (VP) have great clinical importance in cancer …
Non-invasive imaging of mechanical properties of cancers in vivo based on transformations of the Eshelby's tensor using compression elastography
Knowledge of the mechanical properties is of great clinical significance for diagnosis,
prognosis and treatment of cancers. Recently, a new method based on Eshelby's theory to …
prognosis and treatment of cancers. Recently, a new method based on Eshelby's theory to …
Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet-Blended Hybrid Model
SK Henge, NR Viraati, M Alhussein… - IEEE …, 2025 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a severe complication of diabetes that affects the retinal
structures and can lead to significant visual impairment or even blindness. Early diagnosis is …
structures and can lead to significant visual impairment or even blindness. Early diagnosis is …
Enhancement of Diabetic Retinopathy Prognostication Utilizing Deep Learning, CLAHE, and ESRGAN
Sometimes when diabetic retinopathy (DR) is found and treated quickly, vision loss can
indeed be spared. This study deploys a deep learning (DL) model that can discover all 5 …
indeed be spared. This study deploys a deep learning (DL) model that can discover all 5 …
Proposed optimized active contour based approach for accurately skin lesion segmentation
The presented work suggests a robust approach for skin lesion segmentation in the state of
the art of optimized active contours and level sets according to the estimation of both …
the art of optimized active contours and level sets according to the estimation of both …