A survey on machine and deep learning models for childhood and adolescent obesity
Childhood and adolescent obesity is a serious health problem that is on the rise at the
global level. Earlier, certain diseases such as Type 2 diabetes, high blood pressure, and …
global level. Earlier, certain diseases such as Type 2 diabetes, high blood pressure, and …
The NITRDrone dataset to address the challenges for road extraction from aerial images
Recent years have witnessed a dramatic evolution in small-scale remote sensors such as
Unmanned aerial vehicles (UAVs). Characteristics such as automatic flight control, flight …
Unmanned aerial vehicles (UAVs). Characteristics such as automatic flight control, flight …
Membership inference attacks against semantic segmentation models
Membership inference attacks aim to infer whether a data record has been used to train a
target model by observing its predictions. In sensitive domains such as healthcare, this can …
target model by observing its predictions. In sensitive domains such as healthcare, this can …
An efficient multi-class classification of skin cancer using optimized vision transformer
RP Desale, PS Patil - Medical & Biological Engineering & Computing, 2024 - Springer
Skin cancer is a pervasive and deadly disease, prompting a surge in research efforts
towards utilizing computer-based techniques to analyze skin lesion images to identify …
towards utilizing computer-based techniques to analyze skin lesion images to identify …
An examination of bias of facial analysis based bmi prediction models
Obesity is one of the most important public health problems that the world is facing today. A
recent trend is in the development of intervention tools that predict BMI using facial images …
recent trend is in the development of intervention tools that predict BMI using facial images …
[HTML][HTML] Semantic Segmentation for Various Applications: Research Contribution and Comprehensive Review
Semantic image segmentation is used to analyse visual content and carry out real-time
decision-making. This narrative literature analysis evaluates the multiple innovations and …
decision-making. This narrative literature analysis evaluates the multiple innovations and …
Construction of network biomarkers using inter-feature correlation coefficients (FeCO3) and their application in detecting high-order breast cancer biomarkers
S Lin, Y Lin, K Wu, Y Wang, Z Feng… - Current …, 2022 - ingentaconnect.com
Aims: This study aims to formulate the inter-feature correlation as the engineered features.
Background: Modern biotechnologies tend to generate a huge number of characteristics of a …
Background: Modern biotechnologies tend to generate a huge number of characteristics of a …
BMI estimation from facial images using residual regression model
QT Pham, AT Luu, TH Tran - 2021 International conference on …, 2021 - ieeexplore.ieee.org
Body Mass Index (BMI) has the potential to disclose a variety of health and lifestyle
concerns. Predicting BMI from facial images is an interesting but challenging problem in …
concerns. Predicting BMI from facial images is an interesting but challenging problem in …
Toward on-device weight monitoring from selfie face images using smartphones
Obesity is a serious health problem that is on the rise at the global level. Recent studies
suggest that BMI can be inferred from facial images using deep learning-based …
suggest that BMI can be inferred from facial images using deep learning-based …
PatchBMI-Net: Lightweight Facial Patch-based Ensemble for BMI Prediction
Due to an alarming trend related to obesity affecting 93.3 million adults in the United States
alone, body mass index (BMI) and body weight have drawn significant interest in various …
alone, body mass index (BMI) and body weight have drawn significant interest in various …