Browsing by Author "Catal Reis, Hatice"
Now showing items 1-7 of 7
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Advanced Tomato Disease Detection Using the Fusion of Multiple Deep-Learning and Meta-Learning Techniques
Catal Reis, Hatice (Springer Science and Business Media Deutschland GmbH, 2024)Automatic and early detection of diseases in crops is important for producers in terms of product yield. Methods are needed to diagnose the disease and select interventions for tomato leaf. This study aims to create a novel ... -
An Automatic Approach for Bone Tumor Detection from Non-Standard CT Images
Reis, Hatice Catal; Bayram, Bulent (UNIV NAC COLOMBIA, FAC INGENIERIA, DEC 2023)Image processing techniques are applied in many fields of science. This study aims to detect tumors in the foot and create 3D models via computed tomography (CT), as well as to produce biometric data. 1 039 CT images were ... -
InSiNet: a deep convolutional approach to skin cancer detection and segmentation
Turk, Veysel; Khoshelham, Kourosh; Kaya, Serhat; Catal Reis, Hatice (Springer Science and Business Media Deutschland GmbH, 2022)Cancer is among the common causes of death around the world. Skin cancer is one of the most lethal types of cancer. Early diagnosis and treatment are vital in skin cancer. In addition to traditional methods, method such ... -
Integrated deep learning and ensemble learning model for deep feature-based wheat disease detection
Catal Reis, Hatice; Turk, Veysel (Elsevier Inc., 2024)Early detection of plant diseases is critical to prevent disease spread and assist farmers. Thanks to their high discrimination ability, Convolutional Neural Network (CNN)-based architectures can offer practical solutions ... -
Integration of a CNN-based model and ensemble learning for detecting post-earthquake road cracks with deep features
Reis, Hatice Catal; Turk, Veysel; Karacur, Soner; Kurt, Ahmet Melih (Elsevier Ltd, April 2024)A safe and healthy infrastructure is essential for humanity. Maintenance and repair of roads, which are of great importance, especially in transportation, is essential. Roads can sometimes be damaged due to natural disasters ... -
MediNet: transfer learning approach with MediNet medical visual database
Reis, Hatice Catal; Turk, Veysel; Khoshelham, Kourosh; Kaya, Serhat (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 ... -
Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks
Catal Reis, Hatice; Turk, Veysel (Elsevier Ltd, July 2024)Early diagnosis of plant diseases is essential in reducing economic losses for farmers and increasing production efficiency. Therefore, Computer-Aided Diagnosis (CAD) systems supported by artificial intelligence technologies ...