Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
- histology
- wsi-images
- pan-cancer-analysis
- genomics
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Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Correctly rounded decimals for Go
Ankh: Optimized Protein Language Model
Simple and lightweight computational geometry library for .Net
Azure friendly DICOMweb part 18 .NET server with qido-rs, wado-rs, stow-rs, wado-uri RESTful implementation
OPEM (Open Source PEM Fuel Cell Simulation Tool)
Automated 3D cell detection in very large images
Allocators, I/O streams, math, geometry, image and audio processing for D
Wide-Integer implements a generic C++ template for uint128_t, uint256_t, uint512_t, uint1024_t, etc.
:spider_web: Simple mesh generator inspired by distmesh.
Multiresolution Adaptive Numerical Environment for Scientific Simulation
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A formalization of geometry in Coq based on Tarski's axiom system
A gallery of animations in statistics and utilities to create animations
Converts medical images to more displayable formats, e.g. NIfTI to jpg.
PyTorch Connectomics: segmentation toolbox for EM connectomics
A high-performance, high precision, zero allocation fixed-point decimal library for financial applications
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
Practical volume computation and sampling in high dimensions
Wrapper for RDKit's RunReactants to improve stereochemistry handling
Multi-dimensional Swift math
AI-based pathology predicts origins for cancers of unknown primary - Nature
A simple cross platform .NET API for Intel MKL
Simple RDKit molecule editor GUI using PySide