[HTML][HTML] Polygenic risk score for cardiovascular diseases in artificial intelligence paradigm: a review
Cardiovascular disease (CVD) related mortality and morbidity heavily strain society. The
relationship between external risk factors and our genetics have not been well established. It …
relationship between external risk factors and our genetics have not been well established. It …
[HTML][HTML] Cardiovascular disease/stroke risk stratification in deep learning framework: a review
The global mortality rate is known to be the highest due to cardiovascular disease (CVD).
Thus, preventive, and early CVD risk identification in a non-invasive manner is vital as …
Thus, preventive, and early CVD risk identification in a non-invasive manner is vital as …
Early pathogen prediction in crops using nano biosensors and neural network-based feature extraction and classification
The most prevalent microbe-caused issues that reduce agricultural output globally are viral
and bacterial infections. It is currently quite challenging to identify pathogens due to the …
and bacterial infections. It is currently quite challenging to identify pathogens due to the …
DermAI 1.0: A robust, generalized, and novel attention-enabled ensemble-based transfer learning paradigm for multiclass classification of skin lesion images
Skin lesion classification plays a crucial role in dermatology, aiding in the early detection,
diagnosis, and management of life-threatening malignant lesions. However, standalone …
diagnosis, and management of life-threatening malignant lesions. However, standalone …
An explainable AI system for medical image segmentation with preserved local resolution: Mammogram tumor segmentation
Medical image segmentation aims to identify important or suspicious regions within medical
images. However, many challenges are usually faced while developing networks for this …
images. However, many challenges are usually faced while developing networks for this …
Deep learning paradigm and its bias for coronary artery wall segmentation in intravascular ultrasound scans: a closer look
Background and Motivation: Coronary artery disease (CAD) has the highest mortality rate;
therefore, its diagnosis is vital. Intravascular ultrasound (IVUS) is a high-resolution imaging …
therefore, its diagnosis is vital. Intravascular ultrasound (IVUS) is a high-resolution imaging …
FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting through Knowledge Distillation
Advances in deep learning have revolutionized medical image segmentation, facilitating the
precise delineation of complex anatomical structures. The scarcity of annotated training …
precise delineation of complex anatomical structures. The scarcity of annotated training …
Simultaneous Learning of Erector Spinae Muscles for Automatic Segmentation of Site-Specific Skeletal Muscles in Body CT Images
Skeletal muscle segmentation of the L3 slice can be used to estimate total body skeletal
muscle mass. However, site-specific three-dimensional (3D) segmentation of each region …
muscle mass. However, site-specific three-dimensional (3D) segmentation of each region …
Unfolded deep kernel estimation-attention UNet-based retinal image segmentation
Retinal vessel segmentation is a critical process in the automated inquiry of fundus images
to screen and diagnose diabetic retinopathy. It is a widespread complication of diabetes that …
to screen and diagnose diabetic retinopathy. It is a widespread complication of diabetes that …
A Novel Machine Learning Algorithm for Prostate Cancer Image Segmentation using mpMRI
TD Shukla, K Kalpana, R Gupta… - … and Smart Systems …, 2023 - ieeexplore.ieee.org
Recently, the advancements in technology and the changes in lifestyle behaviors of people
leads to a sedentary routine of everyday habits. For this reason, numerous cancers have …
leads to a sedentary routine of everyday habits. For this reason, numerous cancers have …