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Found 7 papers, 0 papers with code
Endoscopy Classification Model Using Swin Transformer and Saliency Map
Endoscopy is a valuable tool for the early diagnosis of colon cancer.
Brain Tumor Classification by Cascaded Multiscale Multitask Learning Framework Based on Feature Aggregation
Brain tumor analysis in MRI images is a significant and challenging issue because misdiagnosis can lead to death.
Brain Tumor Classification Using Medial Residual Encoder Layers
For brain tumor classification in this work, we offer a system based on deep learning, containing encoder blocks.
Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales
Intracranial tumors are groups of cells that usually grow uncontrollably.
Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural Networks
One of the routine examinations that are used for prenatal care in many countries is ultrasound imaging.
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
Ultrasound imaging is a standard examination during pregnancy that can be used for measuring specific biometric parameters towards prenatal diagnosis and estimating gestational age.
Brain Tumor Segmentation Using Deep Learning by Type Specific Sorting of Images
The effect of using separate networks for segmentation of MR images is evaluated by comparing the results with a single network.
