Histopathology is a critical tool for disease diagnosis and identifying cancer via microscopic tissue analysis. Traditional deep learning methods for histopathology often require extensive labeled ...

Evaluation of de novo oligometastatic prostate cancer patients managed with radiation therapy: A multi-institution, real-world dataset.

Train your grpo with zero dataset and low resources, 8bit/4bit/lora/qlora supported, multi-gpu supported ... - XU-YIJIE/grpo-flat ...

Add a description, image, and links to the multilayer-network-dataset topic page so that developers can more easily learn about it ...

Early detection, better outcomes: The AI breakthrough in heart disease prevention One of the most promising applications of the EMLP framework lies in its integration with Internet of Things (IoT) ...

We conducted extensive experiments and comparative analysis of our proposed model with 19 popular or state-of-the-art (SOTA) methods on five renowned polyp benchmark datasets. To further validate the ...

Combining CGPD-tetramers into a single chord diagram helps identify potential key chemicals, genes, phenotypes, and diseases. This visualization allows users to more readily analyze computational ...

The multilayer machine learning algorithms, under proper data preparation protocols, may be considered useful tools for predicting water temperatures in sampled and unsampled rivers for current ...