Minkang Zhang Improves Medical Image Recognition Through RNN Optimization and Deep Learning Integration

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Deep learning model has identified imaging biomarker for chronic stress

A deep learning model has identified an imaging biomarker of chronic stress, according to a study to be presented at the ...
CMSWire

Gemini 3 Raises the Bar for AI: What It Means for CX and Marketing Leaders

Google’s newest model brings deeper reasoning, multimodal intelligence and agentic automation—resetting expectations for what ...
IEEE

Osteosarcoma CT Image Segmentation Based on OSCA-TransUnet Model

Abstract: This paper mainly conducts research on the segmentation of osteosarcoma CT images by using deep learning methods. Due to the lack of a public dataset for osteosarcoma CT images, we ...

AI Market Poised to Hit $3.5 Trillion by 2033, Powered by 31.5% Annual Growth - Grand View Research

The global artificial intelligence market size is anticipated to reach USD 3.5 Trillion by 2033, growing at a CAGR of 31.5% ...

Grand View Research, Inc.: AI Market Poised to Hit $3.5 Trillion by 2033, Powered by 31.5% Annual Growth - Grand View Research

The global artificial intelligence market size is anticipated to reach USD 3.5 Trillion by 2033, growing at a CAGR of 31.5% from 2025 to 2033 ...
Scientific Research Publishing

Study of Methods for Automatic Segmentation of Geological Profile Images Based on Diffusion Models ()

1 School of Science, Tianjin University of Technology and Education, Tianjin, China. 2 School of Big Data, Lvliang Vocational and Technical College, Lvliang, China. Early image segmentation was mainly ...
IEEE

Deep Merge: Deep-Learning-Based Region Merging for Remote Sensing Image Segmentation

Abstract: Image segmentation represents a fundamental step in analyzing very high-spatial-resolution (VHR) remote sensing imagery. Its objective is to partition an image into segments that best match ...
Frontiers

Automatic segmentation and quantitative analysis of brain CT volume in 2-year-olds using deep learning model

Objective: Our research aims to develop an automated method for segmenting brain CT images in healthy 2-year-old children using the ResU-Net deep learning model. Building on this model, we aim to ...
Frontiers

Construction and validation of a deep learning-based diagnostic model for segmentation and classification of diabetic foot

1 Department of Endocrinology, Air Force Medical Center, Air Force Medical University, Beijing, China 2 Chongqing Zhijian Life Technology Co., Ltd, Chongqing, China Objective: This study aims to ...