AIMC Journal:
Computer methods and programs in biomedicine

Showing 711 to 720 of 863 articles

Microaneurysm detection using fully convolutional neural networks.

Computer methods and programs in biomedicine Feb 22, 2018
BACKROUND AND OBJECTIVES: Diabetic retinopathy is a microvascular complication of diabetes that can lead to sight loss if treated not early enough. Microaneurysms are the earliest clinical signs of diabetic retinopathy. This paper presents an automat...
Diabetic Retinopathy Neural Networks, Computer Algorithms Humans Automation Photography Microaneurysm Diagnostic Imaging Fundus Oculi Datasets as Topic
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Psoriasis skin biopsy image segmentation using Deep Convolutional Neural Network.

Computer methods and programs in biomedicine Feb 6, 2018
BACKGROUND AND OBJECTIVE: Development of machine assisted tools for automatic analysis of psoriasis skin biopsy image plays an important role in clinical assistance. Development of automatic approach for accurate segmentation of psoriasis skin biopsy...
Dermis Epidermis Reproducibility of Results Color Image Processing, Computer-Assisted Biopsy Cluster Analysis Neural Networks, Computer Support Vector Machine Humans Skin Psoriasis Algorithms Models, Statistical Databases, Factual
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A novel biomedical image indexing and retrieval system via deep preference learning.

Computer methods and programs in biomedicine Feb 6, 2018
BACKGROUND AND OBJECTIVES: The traditional biomedical image retrieval methods as well as content-based image retrieval (CBIR) methods originally designed for non-biomedical images either only consider using pixel and low-level features to describe an...
Information Storage and Retrieval Radiology Information Systems Neural Networks, Computer Machine Learning Algorithms Databases, Factual Image Processing, Computer-Assisted Diagnostic Imaging Humans
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A YinYang bipolar fuzzy cognitive TOPSIS method to bipolar disorder diagnosis.

Computer methods and programs in biomedicine Feb 6, 2018
BACKGROUND AND OBJECTIVE: Bipolar disorder is often mis-diagnosed as unipolar depression in the clinical diagnosis. The main reason is that, different from other diseases, bipolarity is the norm rather than exception in bipolar disorder diagnosis. Yi...
Practice Patterns, Physicians' Models, Theoretical Fuzzy Logic Humans Decision Making Bipolar Disorder Cognition
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An expert system design to diagnose cancer by using a new method reduced rule base.

Computer methods and programs in biomedicine Feb 3, 2018
BACKGROUND AND OBJECTIVES: A Medical Expert System (MES) was developed which uses Reduced Rule Base to diagnose cancer risk according to the symptoms in an individual. A total of 13 symptoms were used. With the new MES, the reduced rules are controll...
Algorithms Female Reproducibility of Results Humans Early Detection of Cancer Expert Systems Kidney Neoplasms Risk Factors Uterine Cervical Neoplasms Lung Neoplasms
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Efficient computational model for classification of protein localization images using Extended Threshold Adjacency Statistics and Support Vector Machines.

Computer methods and programs in biomedicine Feb 2, 2018
BACKGROUND AND OBJECTIVE: Discriminative and informative feature extraction is the core requirement for accurate and efficient classification of protein subcellular localization images so that drug development could be more effective. The objective o...
Microscopy, Fluorescence Subcellular Fractions Computer Simulation Reproducibility of Results Computational Biology Support Vector Machine Proteins
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Learning-based classification of informative laryngoscopic frames.

Computer methods and programs in biomedicine Jan 31, 2018
BACKGROUND AND OBJECTIVE: Early-stage diagnosis of laryngeal cancer is of primary importance to reduce patient morbidity. Narrow-band imaging (NBI) endoscopy is commonly used for screening purposes, reducing the risks linked to a biopsy but at the co...
Laryngoscopy Support Vector Machine Laryngeal Neoplasms Humans Early Detection of Cancer Machine Learning Pattern Recognition, Automated Diagnosis, Computer-Assisted
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NiftyNet: a deep-learning platform for medical imaging.

Computer methods and programs in biomedicine Jan 31, 2018
BACKGROUND AND OBJECTIVES: Medical image analysis and computer-assisted intervention problems are increasingly being addressed with deep-learning-based solutions. Established deep-learning platforms are flexible but do not provide specific functional...
Image Processing, Computer-Assisted Humans Brain Diagnostic Imaging Abdomen Computer Simulation Neural Networks, Computer Magnetic Resonance Imaging Ultrasonography Machine Learning Databases, Factual
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Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system.

Computer methods and programs in biomedicine Jan 31, 2018
BACKGROUND AND OBJECTIVE: Automatic detection and classification of the masses in mammograms are still a big challenge and play a crucial role to assist radiologists for accurate diagnosis. In this paper, we propose a novel Computer-Aided Diagnosis (...
Machine Learning Female Reproducibility of Results Breast Neoplasms Diagnosis, Computer-Assisted Mammography Humans Neural Networks, Computer Probability Radiology Information Systems
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Fully automatic cervical vertebrae segmentation framework for X-ray images.

Computer methods and programs in biomedicine Jan 12, 2018
The cervical spine is a highly flexible anatomy and therefore vulnerable to injuries. Unfortunately, a large number of injuries in lateral cervical X-ray images remain undiagnosed due to human errors. Computer-aided injury detection has the potential...
Automation Cervical Vertebrae Probability Image Interpretation, Computer-Assisted Algorithms Diagnostic Errors Radiography Humans Neural Networks, Computer
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