Moonshot's new Kimi K2.5 model can build websites from visual inputs - here's how it works

While it's not yet clear how practically useful the capability will be for individuals and businesses, the model's "coding with vision" capability makes vibe coding even vibier.
IEEE

CoDiff-SaK: Controllable Diffusion Model with Segment Anything Knowledge for Low-dose CT Image Denoising

Abstract: Electronic noise, a natural characteristic of low-dose CT (LDCT) images, poses a major challenge for achieving accurate quantitative analysis and precise diagnosis. Deep learning-based ...
IEEE

Few-Shot Medical Image Segmentation With High-Confidence Prior Mask

Abstract: Labeling large amounts of medical data is travailing, leading to the blooming of few-shot medical image segmentation, which aims to segment the foreground of a query image given a labeled ...
GitHub

Slim UNETR: An Efficient, High-Quality 3D Segmentation for Medical Image Analysis with Constrained Computational Resources

🎉 This work is published in IEEE Transactions on Medical Imaging The sub-regions considered for evaluation in BraTS 21 challenge are the "enhancing tumor" (ET), the "tumor core" (TC), and the "whole ...
GitHub

React Native Image Code Scanner

0.70.x - 0.74.x 1.0.x Old Architecture Fully Supported 0.75.x - 0.78.x 1.0.x Old & New Architecture Fully Supported Note: This library requires prebuild because it uses native iOS Vision Framework and ...