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Automatic classification of volcanic rocks from thin section images using transfer learning networks
(2021)
In this study, efficient deep transfer learning models are proposed to classify six types of volcanic rocks, and this paper has a novelty in classifying volcanic rock types for the first time using thin section images. ...
Determination of Pneumonia in X-ray Chest Images by Using Convolutional Neural Network
(2021)
Pneumonia is one of the major diseases that cause a lot of deaths all over the world. Determining pneumonia from chest X-ray (CXR) images is an extremely difficult and important image processing problem. The discrimination ...
Classification of plutonic rock types using thin section images with deep transfer learning
(2021)
Classification of rocks is one of the basic parts of geological research and is a difficult task due to the heterogeneous properties of rocks. This process is time consuming and requires sufficiently knowledgeable and ...
Classification of brain tumors from MR images using deep transfer learning
(2021)
Classification of brain tumors is of great importance in medical applications that benefit from computer-aided diagnosis. Misdiagnosis of brain tumor type will both prevent the patient from responding effectively to the ...
Brain tumor classification by using a novel convolutional neural network structure
(2022)
Brain tumors located in the skull are among the health problems that cause serious consequences. Rapid and accurate detection of brain tumor types will ensure that the patient receives appropriate treatment in the early ...
Determination of COPD severity from chest CT images using deep transfer learning network
(2022)
The purpose of this study is to present a solution to the problem of detecting the severity of Chronic Obstructive Pulmonary Disease (COPD) from chest CT images using deep transfer learning network. The study has a novelty ...
