AIMC Topic: Deep Learning

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Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models.

Sensors (Basel, Switzerland)
Hospitals, especially their emergency services, receive a high number of wrist fracture cases. For correct diagnosis and proper treatment of these, images obtained from various medical equipment must be viewed by physicians, along with the patient's ...

Application of Knowledge Distillation Based on Transfer Learning of ERNIE Model in Intelligent Dialogue Intention Recognition.

Sensors (Basel, Switzerland)
The 'intention' classification of a user question is an important element of a task-engine driven chatbot. The essence of a user question's intention understanding is the text classification. The transfer learning, such as BERT (Bidirectional Encoder...

A deep learning algorithm to identify cervical ossification of posterior longitudinal ligaments on radiography.

Scientific reports
The cervical ossification of the posterior longitudinal ligament (cOPLL) is sometimes misdiagnosed or overlooked on radiography. Thus, this study aimed to validate the diagnostic yield of our deep learning algorithm which diagnose the presence/absenc...

A joint convolutional-recurrent neural network with an attention mechanism for detecting intracranial hemorrhage on noncontrast head CT.

Scientific reports
To investigate the performance of a joint convolutional neural networks-recurrent neural networks (CNN-RNN) using an attention mechanism in identifying and classifying intracranial hemorrhage (ICH) on a large multi-center dataset; to test its perform...

Protein sequence design with a learned potential.

Nature communications
The task of protein sequence design is central to nearly all rational protein engineering problems, and enormous effort has gone into the development of energy functions to guide design. Here, we investigate the capability of a deep neural network mo...

Deep learning tools for the cancer clinic: an open-source framework with head and neck contour validation.

Radiation oncology (London, England)
BACKGROUND: With the rapid growth of deep learning research for medical applications comes the need for clinical personnel to be comfortable and familiar with these techniques. Taking a proven approach, we developed a straightforward open-source fram...

Vehicle Image Detection Method Using Deep Learning in UAV Video.

Computational intelligence and neuroscience
Traditional machine learning algorithms are susceptible to objective factors such as video quality and weather environment in the vehicle detection of Unmanned Aerial Vehicle (UAV) videos, resulting in poor detection results. A vehicle image detectio...

Detecting obstructive sleep apnea by craniofacial image-based deep learning.

Sleep & breathing = Schlaf & Atmung
STUDY OBJECTIVES: This study aimed to develop a deep learning-based model to detect obstructive sleep apnea (OSA) using craniofacial photographs.

Development and validation of a deep learning-based algorithm for colonoscopy quality assessment.

Surgical endoscopy
BACKGROUND: Quality indicators should be assessed and monitored to improve colonoscopy quality in clinical practice. Endoscopists must enter relevant information in the endoscopy reporting system to facilitate data collection, which may be inaccurate...

[Not Available].

Zeitschrift fur medizinische Physik
Spoke trajectory parallel transmit (pTX) excitation in ultra-high field MRI enables B inhomogeneities arising from the shortened RF wavelength in biological tissue to be mitigated. To this end, current RF excitation pulse design algorithms either emp...