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Found 11 papers, 0 papers with code
FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures
The proposed solution has been evaluated using the DRIVE, CHASE-DB1, and STARE datasets, and competitive results are obtained when compared with previous studies.
Convolutional Neural Network-Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study
The system showed excellent performance when compared with pretrained CNNs and other classification methods, as it avoids the preprocessing phase while using a single CNN model for classification.
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
(2) Domain adaptation and transfer learning enable AI models to be trained and applied across multiple domains.
Gaze Estimation Approach Using Deep Differential Residual Network
We propose a differential residual model (DRNet) combined with a new loss function to make use of the difference information of two eye images.
Private Facial Diagnosis as an Edge Service for Parkinson's DBS Treatment Valuation
Facial phenotyping has recently been successfully exploited for medical diagnosis as a novel way to diagnose a range of diseases, where facial biometrics has been revealed to have rich links to underlying genetic or medical causes.
Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila
Gene expression of social actions in Drosophilae has been attracting wide interest from biologists, medical scientists and psychologists.
Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis
While facial biometrics has been widely used for identification purpose, it has recently been researched as medical biometrics for a range of diseases.
A Novel Approach for Robust Multi Human Action Recognition and Summarization based on 3D Convolutional Neural Networks
For that, this paper proposes a new technic for multiple human action recognition and summarization for surveillance videos.
3DPalsyNet: A Facial Palsy Grading and Motion Recognition Framework using Fully 3D Convolutional Neural Networks
The capability to perform facial analysis from video sequences has significant potential to positively impact in many areas of life.
Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks
In our work, GAN has been trained intensively on low resolution images, in order to neutralize the challenges of the pedestrian detection in the wild, and considered humans, and few other classes for detection in smart cities.
Deep Learning based Pedestrian Detection at Distance in Smart Cities
Generative adversarial networks (GANs) have been promising for many computer vision problems due to their powerful capabilities to enhance the data for training and test.
