Breaking tunnel vision, imaging AI lifts fluorescence image restoration accuracy and speed

Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...

Open-source FLIM Playground could speed reproducible analysis of complex cell images

Modern fluorescence microscopy can generate images of living cells as stunning to look at as they are informative to study. For techniques like fluorescence lifetime imaging microscopy (FLIM), those ...
IEEE

Mahalanobis-Kernel Distance-Based Suppressed Possibilistic C-Means Clustering Algorithm for Imbalanced Image Segmentation

Abstract: The possibilistic c-means (PCM) clustering is an important unsupervised pattern recognition method. However, it is still faced with huge challenges in clustering multidimensional data with ...
IEEE

Retracted: Investigating the Use of Spatial Transformer Networks and Recurrent Neural Networks for Medical Image Segmentation

Abstract: This paper investigates using popular deep learning models, Spatial Transformer Networks (STNs), and Recurrent Neural Networks (RNNs) for clinical picture segmentation. STNs are used to ...