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Found 7 papers, 3 papers with code
Simple and Efficient Confidence Score for Grading Whole Slide Images
We believe that the proposed confidence score could be leveraged by pathologists directly in their workflow and assist them on difficult tasks such as grading precancerous lesions.
PointFISH -- learning point cloud representations for RNA localization patterns
Subcellular RNA localization is a critical mechanism for the spatial control of gene expression.
Learning with minimal effort: leveraging in silico labeling for cell and nucleus segmentation
Deep learning provides us with powerful methods to perform nucleus or cell segmentation with unprecedented quality.
Giga-SSL: Self-Supervised Learning for Gigapixel Images
Whole slide images (WSI) are microscopy images of stained tissue slides routinely prepared for diagnosis and treatment selection in medical practice.
Prototyping and Evaluation of Infrastructure-Assisted Transition of Control for Cooperative Automated Vehicles
If the driver fails to get back the control in a limited time, a Minimum Risk Maneuver (MRM) is executed to bring the vehicle into a safe state (e. g., decelerating to full stop).
Neural network fast-classifies biological images using features selected after their random-forests-importance to power smart microscopy
In our assay, a 79. 6 $\pm$ 2. 4 % accurate classification of a cell took 68. 7 $\pm$ 3. 5 ms (mean $\pm$ SD, 5-fold cross-validation nested in 10 bootstrap repeats), corresponding to 14 cells per second, dispatched into 8 phases of the cell cycle using 12 feature-groups and operating a consumer market ARM-based embedded system.
Assessment of algorithms for mitosis detection in breast cancer histopathology images
The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers.
