1 citations · 4 across the 4 of their papers we have counts for
4 papers
Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data
Weijie He, Tong Zhou, Yanlin Xiang +3
This study aims to explore the automatic classification method of pneumonia X-ray images based on VGG19 deep convolutional neural network, and evaluate its application effect in pn…
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models
Houze Liu, Tong Zhou, Yanlin Xiang +3
Medical image segmentation is crucial for accurate clinical diagnoses, yet it faces challenges such as low contrast between lesions and normal tissues, unclear boundaries, and high…
Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis
Junliang Du, Yiru Cang, Tong Zhou +2
This study introduces the Hybrid Multi-modal VGG (HM-VGG) model, a cutting-edge deep learning approach for the early diagnosis of glaucoma. The HM-VGG model utilizes an attention m…
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation
Mingxiu Sui, Jiacheng Hu, Tong Zhou +3
This paper introduces a novel deep-learning method for the automatic detection and segmentation of lung nodules, aimed at advancing the accuracy of early-stage lung cancer diagnosi…