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InSiNet: a deep convolutional approach to skin cancer detection and segmentation
(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 ...
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 ...
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 ...
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, ...
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, ...