Frontiers

Predicting molecular subtype in breast cancer using deep learning on mammography images

1 Department of Breast Surgery, Beijing Chao-Yang Hospital, Beijing, China 2 School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China Objectives: This ...
Frontiers

A deep-learning framework to detect green tide from MODIS images

Introduction: Monitoring Ulva prolifera blooms over the long term is crucial for maintaining marine ecological balance. MODIS images, with their wide spatial coverage, high temporal resolution, and ...
GitHub

machine-learning-deep-learning-mnist-keras

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IEEE

Enhanced Underwater Object Detection by Tracking in Sonar Images Using Deep Learning and Vehicle Motion Data

Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...
Microsoft

Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic liver disease worldwide, affecting over 30% of the global general population. Its progressive ...
GitHub

machine-learning-deep-learning-scikit-lear-keras

A dual-approach Breast Cancer Prediction system using Machine Learning and Deep Learning. Includes EDA, model comparison (KNN, RF, Logistic), ANN with Keras, and hyperparameter tuning using ...
optometryadvisor

Deep Learning System Can Detect Vision-Threatening Diabetic Retinopathy

A deep learning system can accurately detect vision-threatening diabetic retinopathy. A dual-modality, deep learning system can accurately detect vision-threatening diabetic retinopathy (vtDR) using ...
IEEE

Detecting the Undetectable: Deep Learning Model for Identification of Fake Images

Abstract: Deep learning (DL) has brought big change in the field of image processing, allowing the generation of fake images, commonly known as Deepfake images. Because of the rapid advancements in ...