So what are the bases for segmentation? While it is difficult to determine what will segment a market into different segments based on different benefit tradeoffs, there are some useful ways of ...
The ways in which HCPs prefer to engage with pharma has been changing for quite some time, and the digital transformation brought by COVID has dramatically accelerated that. In a recent pharmaphorum ...
Before getting into how one can think about the various ways to practically segment a market, let's first consider some key issues and questions: It's the only way to have a clear message in the ...
Abstract: Pheochromocytoma is a rare urological adrenal tumor disease. Automated segmentation of pheochromocytomas from computed tomography (CT) is essential for diagnosis and treatment. However, this ...
Abstract: Detecting discrepancies between prior and current (P&C) mammograms is crucial for identifying subtle temporal changes, such as architectural distortions (AD) and calcifications, which ...
Accurate segmentation of polyps in colonoscopy images is essential for early colorectal cancer detection; however, it remains a challenging task due to reflections, occlusions, motion artifacts, inter ...
Official implementation of the paper "DyGLNet: Hybrid Global-Local Feature Fusion with Dynamic Upsampling for Medical Image Segmentation". DyGLNet is a lightweight and high-performance network ...
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