AIMC Topic: Cytological Techniques

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Image based Machine Learning for identification of macrophage subsets.

Scientific reports
Macrophages play a crucial rule in orchestrating immune responses against pathogens and foreign materials. Macrophages have remarkable plasticity in response to environmental cues and are able to acquire a spectrum of activation status, best exemplif...

Machine learning and computer vision approaches for phenotypic profiling.

The Journal of cell biology
With recent advances in high-throughput, automated microscopy, there has been an increased demand for effective computational strategies to analyze large-scale, image-based data. To this end, computer vision approaches have been applied to cell segme...

Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Robust cell detection serves as a critical prerequisite for many biomedical image analysis applications. In this paper, we present a novel convolutional neural network (CNN) based structured regression model, which is shown to be able to handle touch...

Interactive Cell Segmentation Based on Active and Semi-Supervised Learning.

IEEE transactions on medical imaging
Automatic cell segmentation can hardly be flawless due to the complexity of image data particularly when time-lapse experiments last for a long time without biomarkers. To address this issue, we propose an interactive cell segmentation method by clas...

[Feasibility Study for Storage and Re-Utilization of Circulating Tumor Cells (CTCs)].

Rinsho byori. The Japanese journal of clinical pathology
BACKGROUND: In this era of precision medicine, monitoring patients requires not only real time but also longitudinal sequence of samples at various time points. Based on this background, we focused on conditioned circumstances on fixation and storage...