WebJan 1, 2024 · In this paper, we developed a novel refinement residual convolutional network to segment breast tumors accurately from ultrasound images, which mainly composed of … WebApr 12, 2024 · Objectives To determine whether there is a residual risk of breast cancer due to prior obesity among patients who undergo bariatric surgery. Design, Setting, and …
Deep learning prediction of pathological complete response, …
WebSep 1, 2024 · Author Feedback. We thank all the reviewers for their valuable comments. We appreciate that the key contributions of our work are affirmed by reviewers: 1) a novel … WebNov 30, 2024 · Breast cancer is among the leading causes of mortality for females across the planet. It is essential for the well-being of women to develop early detection and diagnosis techniques. In mammography, focus has contributed to the use of deep learning (DL) models, which have been utilized by radiologists to enhance the needed processes to … liddup net worth 2020
GitHub - mniwk/RF-Net
In this paper, we proposed a novel residual feedback network, which enhances the confidence of the inconclusive pixels to boost breast lesion … See more WebNov 18, 2024 · Breast cancer, which attacks the glandular epithelium of the breast, is the second most common kind of cancer in women after lung cancer, and it affects a … WebMay 15, 2024 · Semantic labeling for high resolution aerial images is a fundamental and necessary task in remote sensing image analysis. It is widely used in land-use surveys, change detection, and environmental protection. Recent researches reveal the superiority of Convolutional Neural Networks (CNNs) in this task. However, multi-scale object … lidd supply chain intelligence