Nature

Automatic Modulation Classification Using Deep Learning Techniques

Automatic modulation classification (AMC) is an essential technology in modern communications, enabling the identification of various signal modulation schemes without prior knowledge, thereby ...

AI learns to read ancient Japanese pottery with 93% accuracy

Classifying ancient pottery has always depended on the trained judgment of an archaeologist. Identifying the subtle ...
Scientific Research Publishing

Hybrid Deep Learning Model for Breast Cancer Classification in Low-Middle Income Countries: A MobileNetV2 and Cubic SVM ()

Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
ascopubs.org

Non-invasive colorectal cancer detection using multimodal deep learning ensemble classifier.

Effect of breast tissue density on cell-free orphan non-coding RNAs secreted by breast cancers. Nature and distribution of methyl thioadenosine phosphorylase (MTAP) genomic loss in human tumors. This ...
ascopubs.org

Utility of deep versatile classifier for accurate subtyping of lung adenocarcinoma using hematoxylin-eosin images.

Adaptive AI-driven clinical decision-making in oncology through digital twins and large-scale imaging biomarkers. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract ...
AZoRobotics

AI Model Achieves 99.24 % Accuracy in Breast Ultrasound Classification

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...