Abstract: Managing attendance in educational institutions is often a time-consuming and error-prone task, with traditional methods like roll calls or sign-in sheets being inefficient and susceptible ...
This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...
The train_classifier.py script is used to train an image classifier. It was used to create the CHiMP Classifier-v2 model by fine-tuning a pre-trained ConvNeXt-Tiny CNN first on the MARCO Dataset of ...
Chronic kidney disease (CKD) is a collective term for diseases that affect the structure and function of the kidneys, and its various clinical manifestations are partially related to the cause, ...
Registered multi-device/staining histology image dataset for domain-agnostic machine learning models
Variations in color and texture of histopathology images are caused by differences in staining conditions and imaging devices between hospitals. These biases decrease the robustness of machine ...
Our lives are significantly impacted by social media platforms such as Facebook, Twitter, Instagram, LinkedIn, and others. People are actively participating in it the world over. However, it also has ...
Various pre-trained deep learning models for the segmentation of bioimages have been made available as developer-to-end-user solutions. They are optimized for ease of use and usually require neither ...
We propose a new method for cancer subtype classification from histopathological images, which can automatically detect tumor-specific features in a given whole slide image (WSI). The cancer subtype ...
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