Yazar "Catal Reis, Hatice" için listeleme
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Advanced brain tumor analysis: a novel strategy for segmentation and classification using modern computational methods
Reis, Hatice Catal; Turk, Veysel (Springer Science and Business Media Deutschland GmbH, February 2)Despite their low incidence, brain tumors are one of the most invasive cancer types, constituting a significant burden of death and disease in all age groups. Early and accurate diagnosis of brain tumors plays a vital role ... -
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 ... -
Detection of COVID-19 infection from CT images using the medical photogrammetry technique
Çatal Reis, Hatice; Türk, Veysel; Kaya, Serhat (Mersin University, 15 Decembe)Medical data such as computed tomography (CT), magnetic resonance imaging (MRI), and Ultrasound images are used in medical photogrammetry. CT images have been used frequently in recent years for the diagnosis of COVID-19 ... -
DSCIMABNet: A novel multi-head attention depthwise separable CNN model for skin cancer detection
Reis, Hatice Catal; Turk, Veysel (Elsevier Ltd, March 2025)Skin cancer is a common type of cancer worldwide. Early diagnosis of skin cancer can reduce the risk of death by increasing treatment success. However, it is challenging for dermatologists or specialists because the symptoms ... -
Fusion of transformer attention and CNN features for skin cancer detection
Catal Reis, Hatice (Elsevier Ltd, October 20)Melanoma is a skin cancer that spreads quickly and has serious risks. Early diagnosis is essential, but since the symptoms of skin lesions in the early stages are vague and similar, they can be difficult for specialists ... -
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 ... -
A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection
Hatice Catal Reis; Veysel Turk (PubMed Disclaimer, 2025 Mar 6)Cancer is a severe threat to public health. Early diagnosis of disease is critical, but the lack of experts in this field, the personal assessment process, the clinical workload, and the high level of similarity in disease ... -
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 ...
