AIMC Topic: Neural Networks, Computer

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Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis.

Gastrointestinal endoscopy
BACKGROUND AND AIMS: Deep learning is an innovative algorithm based on neural networks. Wireless capsule endoscopy (WCE) is considered the criterion standard for detecting small-bowel diseases. Manual examination of WCE is time-consuming and can bene...

Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images.

Computers in biology and medicine
Gliomas are the most common malignant brain tumors with different grades that highly determine the rate of survival in patients. Tumor segmentation and grading using magnetic resonance imaging (MRI) are common and essential for diagnosis and treatmen...

Deep learning for mass detection in Full Field Digital Mammograms.

Computers in biology and medicine
In recent years, the use of Convolutional Neural Networks (CNNs) in medical imaging has shown improved performance in terms of mass detection and classification compared to current state-of-the-art methods. This paper proposes a fully automated frame...

Learned optical flow for intra-operative tracking of the retinal fundus.

International journal of computer assisted radiology and surgery
PURPOSE: Sustained delivery of regenerative retinal therapies by robotic systems requires intra-operative tracking of the retinal fundus. We propose a supervised deep convolutional neural network to densely predict semantic segmentation and optical f...

Leveraging vision and kinematics data to improve realism of biomechanic soft tissue simulation for robotic surgery.

International journal of computer assisted radiology and surgery
PURPOSE: Surgical simulations play an increasingly important role in surgeon education and developing algorithms that enable robots to perform surgical subtasks. To model anatomy, finite element method (FEM) simulations have been held as the gold sta...

A Spatiotemporal Convolutional Network for Multi-Behavior Recognition of Pigs.

Sensors (Basel, Switzerland)
The statistical data of different kinds of behaviors of pigs can reflect their health status. However, the traditional behavior statistics of pigs were obtained and then recorded from the videos through human eyes. In order to reduce labor and time c...

Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification.

IEEE transactions on cybernetics
Convolutional neural networks (CNNs) have gained remarkable success on many image classification tasks in recent years. However, the performance of CNNs highly relies upon their architectures. For the most state-of-the-art CNNs, their architectures a...

Prognosis in pathology: Are we "prognosticating" or only establishing correlations between independent variables and survival? A study with various analytics cautions about the overinterpretation of statistical results.

Annals of diagnostic pathology
Survival data from 225 patients with resected pulmonary typical carcinoids were analyzed with Kaplan-Meier statistics (K-M) and "deep learning" methods to illustrate the difference between establishing "correlations" and "prognostications". Cases wer...