Konu "Classification" için Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed listeleme
Toplam kayıt 8, listelenen: 1-8
-
Alert Results Shape of Masses in Contrast Mammography Images and First Order Statistical Features Classification Based on 5 of 11 Shape of Masses in Contrast Mammography Images and First Order Statistical Features Classification Based on
(IEEE, 2023)Mammography is a valuable tool in the diagnosis and staging of primary breast cancer. Contrast-enhanced mammography (CEM) combines an iodinated contrast agent with traditional mammography to increase diagnostic accuracy, ... -
Diagnosis of COVID-19 and non-COVID-19 patients by classifying only a single cough sound
(Springer London Ltd, 2021)In the last month of 2019, a new virus emerged in China, spreading rapidly and affecting the whole world. This virus, which is called corona, is the most contagious type of virus that humanity has ever encountered. The ... -
An EEG-based stereoscopic research of the PSD differences in pre and post 2D&3D movies watching
(Elsevier Sci Ltd, 2020)Despite knowing the reality of three-dimensional (3D) technology in the form of eye fatigue, this technology continues to be retained by people (especially the young community). To check the influences of the human brain's ... -
Kontrastli Mamografi Görüntülerinde Kitlelerin Şekil ve Birinci Dereceden Istatistiksel Özniteliklere Dayali Siniflandirmasi
(Institute of Electrical and Electronics Engineers Inc., 2023)Mammography is a valuable tool in the diagnosis and staging of primary breast cancer. Contrast-enhanced mammography (CEM) combines an iodinated contrast agent with traditional mammography to increase diagnostic accuracy, ... -
MediNet: transfer learning approach with MediNet medical visual database
(Springer, 2023)The rapid development of machine learning has increased interest in the use of deep learning methods in medical research. Deep learning in the medical field is used in disease detection and classification problems in the ... -
Performance comparison of deep learning and machine learning methods in determining wetland water areas using EuroSAT dataset
(Springer Science and Business Media Deutschland GmbH, 2022)Wetlands are critical to the ecology because they maintain biodiversity and provide home for a variety of species. Researching, mapping, and conservation of wetlands is a challenging and time-consuming process. Because ... -
Roza: a new and comprehensive metric for evaluating classification systems
(Taylor & Francis Ltd, 2021)Many metrics such as accuracy rate (ACC), area under curve (AUC), Jaccard index (JI), and Cohen's kappa coefficient are available to measure the success of the system in pattern recognition and machine/deep learning systems. ... -
A study on effective data preprocessing and augmentation method in diabetic retinopathy classification using pre-trained deep learning approaches
(Springer, 2023)High glucose levels in the blood not only damage different tissues and organs of the body, but also cause adverse effects on the eye. This condition is called diabetic retinopathy (DR). DR can cause blurred vision, darkening ...