NuHTC: A Hybrid Task Cascade for Nuclei Instance Segmentation and Classification
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Updated
Sep 11, 2026 - Python
NuHTC: A Hybrid Task Cascade for Nuclei Instance Segmentation and Classification
This vulnerability may allow an unauthenticated attacker with network access to the BIG-IP system through the management port and/or self IP addresses to execute arbitrary system commands, create or delete files, or disable services. There is no data plane exposure; this is a control plane issue only.
my nuclei templates #new
Generative Adversarial Network for Nuclei Detection on Breast Cancer Histopathology Images
RetinaNet for Object Detection in TensorFlow2 and Applications
A Napari plugin for automated cell nuclei detection, cell proliferation & population growth analysis, and single-cell tracking in brightfield and fluorescence microscopy images
Deep Learning for computer vision using PyTorch
AImageLab Zip UNIMORE solution for the MONKEY Challenge of Radboud University Medical Center
Dockerized PrometheusNet inference runtime for PUMA Track 2 melanoma tissue segmentation and nuclei detection.
🛡️ Turn CVE advisories and patch diffs into candidate Nuclei templates and YARA rules — with a validation layer that flags invented indicators.
Grep vulnerability results
WhoIsWho is Google Colab-based tool that aims to classify cells based on features related to their nuclei and their neighbours.
ImageJ scripts for: (a) batch opening confocal files with two channels and merging them and (b) for a batch of confocal images with two channels, identifying nuclei as ROIs using one channel and quantifying the mean pixel intensity of each ROI using the other channel, and outputting results in Excel. Requirements and assumptions are in comments.
Rapidly identify nuclei in images
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