GitHub

surajinacademia/Fiji_imageJ_mcp

Ask your AI Agent in plain English to use Fiji / ImageJ to quickly analyze microscopy image also set pipelines from Cursor, Claude, Gemini, etc. You simply paste the image or ask it to navigate to the ...
gut.bmj

Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning

1 Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, ...
The Lancet

A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study

dOphthalmic Services and Eye Health Programs, Los Angeles County Department of Health Services, Los Angeles, CA, USA eDepartment of Ophthalmology, University of Southern California Keck School of ...
Frontiers

Using Convolutional Neural Networks to Efficiently Extract Immense Phenological Data From Community Science Images

We downloaded 40,761 research-grade observations of A. petiolata from iNaturalist, ranging from 1995 to 2020. Observations on the iNaturalist platform are considered “research-grade if the observation ...
Frontiers

SynActJ: Easy-to-Use Automated Analysis of Synaptic Activity

Neuronal synapses are highly dynamic communication hubs that mediate chemical neurotransmission via the exocytic fusion and subsequent endocytic recycling of neurotransmitter-containing synaptic ...
GitHub

Usiigaci: Instance-aware cell tracking in stain-free phase contrast microscopy enabled by machine learning

Usiigaci, ウシーガチ, ushi:gachi in Hepburn romanization, in Ryukyuan language means "tracing", "透き写し" in Japanese，i.e. drawing the outline of objects based on a template. The process is essentially what ...