FBN: Weakly Supervised Thyroid Nodule Segmentation Optimized by Online Foreground and Background
The main objective of the work described here was to train a semantic segmentation model using classification data for thyroid nodule ultrasound images to reduce the pressure of obtaining pixel-level labeled data sets. Furthermore, we improved the segmentation performance of the model by mining the image information to narrow the gap between weakly supervised semantic segmentation (WSSS) and fully supervised semantic segmentation.
Source: Ultrasound in Medicine and Biology - Category: Radiology Authors: Ruiguo Yu, Shaoqi Yan, Jie Gao, Mankun Zhao, Xuzhou Fu, Yang Yan, Ming Li, Xuewei Li Tags: Original Contribution Source Type: research