Shypd.aiThe largest open index of AI toolsDeepSlide is an open-source framework for classifying high-resolution microscopy images, particularly whole-slide images in histopathology. It provides a sliding window approach for analyzing resected lung adenocarcinoma slides with deep neural networks.
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DeepSlide is an open-source, sliding window framework designed for the classification of high-resolution microscopy images, specifically whole-slide images (WSIs) commonly found in histopathology. This tool provides the code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." It enables users to perform tasks such as train-val-test splitting, patch generation and processing, model training (with recommendations like ResNet-18 for smaller datasets), WSI testing, threshold searching, and visualization of predictions. DeepSlide is particularly useful for researchers and medical professionals working with large histopathology datasets, offering a structured approach to deep learning-based image analysis.
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