eXplainable Artificial Intelligence (XAI) in aging clock models
XAI is a rapidly progressing field of machine learning, aiming to unravel the predictions of
complex models. XAI is especially required in sensitive applications, eg in health care, when …
complex models. XAI is especially required in sensitive applications, eg in health care, when …
Multi-view feature fusion based four views model for mammogram classification using convolutional neural network
Breast cancer is the second most common cause of cancer-related deaths among women.
Early detection leads to better prognosis and saves lives. The 5-year survival rate of breast …
Early detection leads to better prognosis and saves lives. The 5-year survival rate of breast …
RAGCN: Region aggregation graph convolutional network for bone age assessment from X-ray images
Rapid and accurate measurement of bone age from hand X-ray images is a significant task
for children's maturity assessment and metabolic disorders diagnosis. With the development …
for children's maturity assessment and metabolic disorders diagnosis. With the development …
Learning tree-structured representation for 3D coronary artery segmentation
Extensive research has been devoted to the segmentation of the coronary artery. However,
owing to its complex anatomical structure, it is extremely challenging to automatically …
owing to its complex anatomical structure, it is extremely challenging to automatically …
Fully automatic model based on se-resnet for bone age assessment
J He, D Jiang - IEEE access, 2021 - ieeexplore.ieee.org
Bone age assessment (BAA) based on hand X-ray imaging is a common clinical practice for
investigating disorders and predicting the adult height of a child. However, the traditional …
investigating disorders and predicting the adult height of a child. However, the traditional …
Ridge regression neural network for pediatric bone age assessment
Bone age is an important measure for assessing the skeletal and biological maturity of
children. Delayed or increased bone age is a serious concern for pediatricians, and needs …
children. Delayed or increased bone age is a serious concern for pediatricians, and needs …
Fully Automated Bone Age Assessment on Large‐Scale Hand X‐Ray Dataset
X Pan, Y Zhao, H Chen, D Wei… - International journal of …, 2020 - Wiley Online Library
Bone age assessment (BAA) is an essential topic in the clinical practice of evaluating the
biological maturity of children. Because the manual method is time‐consuming and prone to …
biological maturity of children. Because the manual method is time‐consuming and prone to …
An efficient transfer and ensemble learning based computer aided breast abnormality diagnosis system
F Azour, A Boukerche - IEEE Access, 2022 - ieeexplore.ieee.org
Breast cancer is the second most deadly type of cancer globally among women and can be
prevented to a great extent in the case of early detection. In order to raise the survival rate …
prevented to a great extent in the case of early detection. In order to raise the survival rate …
Attention-guided discriminative region localization and label distribution learning for bone age assessment
Bone age assessment (BAA) is clinically important as it can be used to diagnose endocrine
and metabolic disorders during child development. Existing deep learning based methods …
and metabolic disorders during child development. Existing deep learning based methods …
[HTML][HTML] Automated bone age assessment with image registration using hand X-ray images
MA Zulkifley, SR Abdani, NH Zulkifley - Applied Sciences, 2020 - mdpi.com
One of the methods for identifying growth disorder is by assessing the skeletal bone age. A
child with a healthy growth rate will have approximately the same chronological and bone …
child with a healthy growth rate will have approximately the same chronological and bone …