Background The reported prevalence and burden of coronary artery disease in young adults varies markedly in published studies ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

1 Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, China. 2 Landing Artificial Intelligence Center for Pathological Diagnosis, Wuhan University, Wuhan, China.

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 ...

This code was developed as part of Jessica Chan’s master’s thesis in Dr Hyonny Kim’s lab at UC San Diego. The code takes pulse-echo ultrasonic C-scan data in character delimited formats (.csv, .txt, ...

Abstract: Noisy image segmentation using fuzzy c-means clustering (FCM) algorithm is an important direction in the field of image segmentation, among which FCM using local information or nonlocal ...

The high prevalence of polycystic ovary syndrome (PCOS) among reproductive-aged women has attracted more and more attention. As a common disorder that is likely to threaten women’s health physically ...

Nuclei segmentation is a fundamental but challenging task in histopathological image analysis. One of the main problems is the existence of overlapping regions which increases the difficulty of ...

Why was the dataset created? Embrapa WGISD (Wine Grape Instance Segmentation Dataset) was created to provide images and annotation to study object detection and instance segmentation for image-based ...