arXiv:1907.10961
공식 코드 · Papers with Code
Is Texture Predictive for Age and Sex in Brain MRI?
원문 초록
Deep learning builds the foundation for many medical image analysis tasks where neuralnetworks are often designed to have a large receptive field to incorporate long spatialdependencies. Recent work has shown that large receptive fields are not always necessaryfor computer vision tasks on natural images. We explore whether this translates to certainmedical imaging tasks such as age and sex prediction from a T1-weighted brain MRI scans.
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Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review
Conquering the Retina: Bringing Visual in-Context Learning to OCT
Autonomous Computer Vision Development with Agentic AI
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?
Comparing the Effects of Persistence Barcodes Aggregation and Feature Concatenation on Medical Imaging
토론
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