Recent advancements in deep learning have transformed the analysis of blood cell images and the classification of leukemia. By employing complex neural network architectures, such as convolutional ...
In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...
Treatment modalities and survival outcomes in patients with hepatocellular carcinoma with brain metastases (HCC-BM): A large national study. This is an ASCO Meeting Abstract from the 2025 ASCO Annual ...
Researchers combined gigapixel microscopy with explainable AI to analyze pancreatic tissue from living donors. The system accurately classified type 2 diabetes and identified structural changes linked ...
Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...
Deep learning analysis of high-resolution pancreatic tissue images has identified subtle structural changes linked to beta cell dysfunction which offers novel insight into the development of type ...
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