The Segment Anything Model (SAM) is a widely used tool for image processing, but its application in ultrasound image segmentation has limitations due to the noisy nature of ultrasound images….
Continue readingThe newly released Segment Anything Model (SAM) is a popular tool used in image processing due to its superior segmentation accuracy, input prompts, training capabilities, and efficient model design. However,…
Continue readingThe study presents a novel 1D deep learning tool, CaReNet-V1, for breast cancer subtype evaluation and biochemical content evaluation using micro-FTIR hyperspectral images. The tool effectively classified cancer and adjacent…
Continue readingThe study focuses on using deep learning to predict breast cancer subtypes and biomarker levels. Four biomarkers – Estrogen Receptor (ER), Progesterone Receptor (PR), HER2, and Ki67 – are used…
Continue readingThis research introduces Breamy, a mobile health (mHealth) application that utilizes augmented reality (AR) to assist breast cancer patients in making informed decisions about surgical treatment. The app provides 3D…
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