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Toplam kayıt 5, listelenen: 1-5
Focal modulation network for lung segmentation in chest X-ray images
(Tubitak Scientific & Technological Research Council Turkey, 2023)
Segmentation of lung regions is of key importance for the automatic analysis of Chest X-Ray (CXR) images, which have a vital role in the detection of various pulmonary diseases. Precise identification of lung regions is ...
Focal Modulation Based End-to-End Multi-Label Classification for Chest X-ray Image Classification
(Ieee, 2023)
Chest X-ray imaging is of critical importance in order to effectively diagnose chest diseases, which are increasing today due to various environmental and hereditary factors. Although chest X-ray is the most commonly used ...
Content-based medical image retrieval with opponent class adaptive margin loss
(Elsevier Science Inc, 2023)
The increasing utilization of medical imaging technology with digital storage capabilities has facilitated the compilation of large-scale data repositories. Fast access to image samples with similar appearance to suspected ...
Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
(Ieee-Inst Electrical Electronics Engineers Inc, 2022)
Melanoma is a fatal skin cancer that is curable and has dramatically increasing survival rate when diagnosed at early stages. Learning-based methods hold significant promise for the detection of melanoma from dermoscopic ...
Unsupervised Medical Image Translation With Adversarial Diffusion Models
(Ieee-Inst Electrical Electronics Engineers Inc, 2023)
Imputation of missing images via source-to-target modality translation can improve diversity in medical imaging protocols. A pervasive approach for synthesizing target images involves one-shot mapping through generative ...