Abstract: The Transformer architecture has demonstrated remarkable results in 3D medical image segmentation due to its capability of modeling global relationships. However, it poses a significant ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

Windows fatal exception: access violation Current thread 0x0000860c (most recent call first): File "C:\Users/aurel/AppData/Roaming/QGIS/QGIS3\profiles\default/python ...

Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors. Physicists have created a new type of radar that could help improve underground imaging, using a cloud of ...

This paper proposes a Hybrid Quantum Pooling-Classical Neural Network (HQPC-Net) model for precise segmentation of skin cancer images. The model integrates quantum pooling algorithms with classical ...

Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.

Reverse image searching is a quick and easy way to trace the origin of an image, identify objects or landmarks, find higher-resolution alternatives or check if a photo has been altered or used ...

Scientists from the Massachusetts Institute of Technology (MIT) in the U.S. have made a groundbreaking achievement after they captured the first images of individual atoms freely interacting in space.

The ChatGPT 4o image generator is now available to everyone for free. In a post on X on March 31, OpenAI CEO Sam Altman said the AI image generation tool has "now rolled out to all free users!" ...