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Training ultrasound images with original CNN architectures directly is not satisfactory for object detection, segmentation, etc. Is it possible to improve CNN performance for these images?
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I am trying to use faster RCNN (in MATLAB) for nodule bounding box detection in a small thyroid Ultrasound dataset (only 233 images). Some nodules are big and some are very small. My question is...
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I am using Mask-RCNN model with ResNet50 backbone for nodule detection in ultrasound images. My dataset consists of 500 US images. Maximum object detection accuracy for training set is...
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