Pediatric Bone Age Assessment Using Deep Convolutional Neural ...

AlexNet-based deep convolutional neural network optimized with ...

Bone age assessment is used to diagnose paediatric growth because some types of bone diseases occur in childhood. To overcome these issues, AlexNet-Based ...

Bone age assessment with various machine learning techniques

24. Iglovikov VI, Rakhlin A, Kalinin AA, Shvets AA. Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks. In: Stoyanov D, ...

Deeplasia: prior-free deep learning for pediatric bone age ... - medRxiv

The estimation of bone age (BA), which evaluates skeletal maturity, is one of the most important and valuable tools in assessing children's ...

A Deep Learning Method for Pediatric Bone Age Estimation using ...

Convolutional neural networks (convents) are appropriate for both encoding, and decod- ing as inputs are images. The original data χ is mapped by the encoder ...

Deep learning shows promise for bone age assessment | AuntMinnie

A deep-learning convolutional neural network (CNN) algorithm can estimate skeletal maturity on pediatric hand radiographs as accurately as expert radiologists.

Bone Age Assessment Using Artificial Intelligence in Korean ...

Therefore, we developed a deep-learning-based bone age prediction model using hand and wrist radiographs obtained from healthy Korean children ...

Diagnostic performance of convolutional neural network-based ...

This study established and validated an optimized Tanner-Whitehouse 3 artificial intelligence (TW3-AI) bone age assessment (BAA) system based on a ...

Artificial intelligence model system for bone age assessment of ...

Bone age (BA), an indicator of biological age, is determined through the assessment of hand-wrist X-rays to gauge skeletal maturity. This ...

Computerized Bone Age Estimation Using Deep Learning Based ...

Recently, Lee et al. [19] described an automated deep-learning system for bone age assessment, and its test accuracy was 57.32% for the female ...

Ridge regression neural network for pediatric bone age assessment

In this paper, we introduce a unified deep learning framework for bone age assessment using instance segmentation and ridge regression.

A comparison of two artificial intelligence-based methods for ...

The VUNO Korean bone age assessment method, which is based on deep learning, has demonstrated superior performance compared with the manual assessment from the ...

Automated Pediatric Bone Age Assessment Using Convolutional ...

Pediatric medicine widely uses bone age determination to assess skeletal maturity and identify developmental disorders early. However, manual assessment ...

Bone age assessment based on three-dimensional ultrasound and ...

Methods and analysis This is a prospective, observational study. All participants will be recruited through Paediatric Growth and Development Clinic. All ...

Automatic Radiographic Bone Age Assessment Using Deep Joint ...

In 2017, the Radiological Society of North America (RSNA) organized a pediatric bone age machine learning challenge. Deep neural network methods won an ...

Deep learning-based automated bone age estimation for Saudi ...

This study proposes a deep learning-based model utilizing a fully connected convolutional neural network(CNN) to predict bone age from left-hand radiographs.

Fully Automated Bone Age Assessment on Large‐Scale Hand X ...

Deep learning-based methods allow avoiding feature engineering by automatically learning the hierarchy of discriminative features directly from ...

Automated Bone Age Assessment Using Artificial Intelligence

Bone age images are an ideal dataset for training a deep learning solution, as there is a single image of the left hand and wrist and relatively ...

Age Assessment of Youth and Young Adults Using Magnetic ...

Background: Bone age assessment (BAA) is an important tool for diagnosis and in determining the time of treatment in a number of pediatric ...

Computerized Bone Age Estimation Using Deep Learning

Moreover, the accuracy depends on the radiologist's experience and tends to be subjective. Keywords: bone age, children, deep learning, neural.

Spina bifida - Symptoms and causes - Mayo Clinic

Also, being born with a neural tube defect increases the chance ... Children with myelomeningocele may have learning disabilities. They ...