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Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models
(Sprınger, 2019)
Introduction Cardiotocography (CTG) consists of two biophysical signals that are fetal heart rate (FHR) and uterine contraction (UC). In this research area, the computerized systems are usually utilized to provide more ...
Computer-aided diagnosis system combining FCN and Bi-LSTM model for efficient breast cancer detection from histopathological images
(Elsevıer, 2019)
Breast cancer (BC) is one of the most frequent types of cancer that adult females suffer from worldwide. Many BC patients face irreversible conditions and even death due to late diagnosis and treatment. Therefore, early ...
An Effective Hybrid Model for EEG-Based Drowsiness Detection
(Ieee-Inst Electrıcal Electronıcs Engıneers Inc, 2019)
Early detection of driver drowsiness and the development of a functioning driver alertness system may support the prevention of numerous vehicular accidents worldwide. Wearable sensors and camera-based systems are generally ...
Efficient deep features selections and classification for flower species recognition
(Elsevıer Scı Ltd, 2019)
Image-based automatic flower species classification is an important problem for the biologists who construct digital flower catalogs. A dozen of work about flower species recognition has been proposed so far based on ...
Normal and Acute Tympanic Membrane Diagnosis based on Gray Level Co-Occurrence Matrix and Artificial Neural Networks
(Ieee, 2019)
Otitis Media (OM) is the general name of middle ear inflammation. In order to diagnose this disease, it is important to examine the middle ear tympanic membrane (TM) by a standard otoscopy device. In recent years, biomedical ...
Transfer Learning Based Object Detection and Effect of Majority Voting on Classification Performance
(Ieee, 2019)
The use of traditional machine learning techniques in the classification tasks of image-based automatic object species requires primarily extracting the feature set. This requires deciding which set of features to use, and ...
White Blood Cell Classification Based on Shape and Deep Features
(Ieee, 2019)
Classification of the white blood cells (WBCs) in blood smear images is essential for providing important information to the physicians. In addition, manual analyzing of the blood smear images for determining the various ...
Food Image Classification with Deep Features
(Ieee, 2019)
In this paper, deep feature extraction, feature concatenation and support vector machine (SVM) classifier are used for efficient classification of food images. Classification of foods according to their images becomes a ...
Chronic Tympanic Membrane Diagnosis based on Deep Convolutional Neural Network
(Ieee, 2019)
Chronic Otitis Media (COM) causes deformation of the middle ear ossicles with perforation as a result of long-lasting inflammation of the middle ear and it is one of the basic reasons for hearing loss. The middle ear images ...
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