EurekAlert!

Label-free multiphoton microscopy and deep learning can be used in combination to classify pancreatic neuroendocrine neoplasms with high accuracy—a significant step toward ...

Label-free multiphoton microscopy and deep learning can be used in combination to classify pancreatic neuroendocrine neoplasms with high accuracy—a significant step toward automated digital pathology ...
EurekAlert!

High-accuracy tumor detection with label-free microscopy and neural networks

University of Arizona researchers have demonstrated that multiphoton microscopy (MPM), combined with machine learning and deep learning techniques, can accurately distinguish pancreatic neuroendocrine ...
IEEE

Hyperspectral Image Classification Using Gated Adaptable Convolutional-Based Kolmogorov–Arnold Network

Abstract: Vision transformers (ViTs) and convolutional neural networks (CNNs) have demonstrated remarkable performance in classifying complicated hyperspectral images (HSIs). However, these models ...
C&EN

GSH and Halides Directed Controllable Synthesis of Chiral Gold Nanostars for Sensitive Diagnosis of Nephritis Types Using SERS and Transformer Neural Network

Institute of Digitized Medicine and Intelligent Technology, Wenzhou Medical University, Wenzhou 325000, P. R. China ...
GitHub

NeuralBot - Neural Network Aimbot

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...
IEEE

Multi Class Classification for Pox Disease using Deep Learning

Abstract: Pox diseases are viral infections affecting humans, animals, and plants. Such diseases cause serious health, economic, and agricultural repercussions. Identifying the disease early and ...