The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
Neurology Advisor

Multimodal Deep Learning Model Improves CT-Based Alzheimer Disease Classification

A multimodal deep learning framework trained on paired CT and MRI data demonstrated improved diagnostic accuracy when classifying patients with Alzheimer disease, mild cognitive impairment, or normal ...
IEEE

Fuzzy Analysis of historical texts for Prediction of gender roles using Decision Making Process and Machine Learning Techniques

Abstract: Gender roles prediction is widely explored using machine learning techniques for historical texts that are helpful in decision making process based on fuzzy analysis based on access control ...
Microsoft

Fara1.5 – A family of frontier computer use agent models

By: Ahmed Awadallah, Sahil Gupta, Yash Lara, Yadong Lu, Hussein Mozannar, Akshay Nambi, Zach Nussbaum, Yash Pandya, Aravind Rajeswaran, Corby Rosset, Alexey Taymanov, Luiz do Valle, Vibhav Vineet, ...
IEEE

Automated Shape Classification Using SAR Imaging and Machine Learning

Abstract: The proposed method involves generating milli-meter Wave Frequency Modulated Continuous Wave (mmWave FMCW) radar image data through MATLAB modeling, reconstructing images using SAR imaging ...