Frontiers

Automated segmentation and classification of lumbar transverse ultrasound views using a two-stage deep learning method

Ultrasound guidance is widely used in lumbar regional anesthesia and chronic pain management because it provides radiation-free, portable, and real-time visualization. Among lumbar ultrasound views, ...
Scientific Research Publishing

Diabetic Retinopathy Severity Classification Using Data Fusion and Ensemble Transfer Learning ()

Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...
Scientific Research Publishing

Research on PolSAR Image Classification Method Based on Vision Transformer Considering Local Information ()

In response to the problem of inadequate utilization of local information in PolSAR image classification using Vision Transformer in existing studies, this paper proposes a Vision Transformer method ...
IEEE

Segmentation and Classification Techniques for Pap Smear Images in Detecting Cervical Cancer: A Systematic Review

Abstract: Cervical cancer is the fourth most common disease and a significant concern for women’s health worldwide. This systematic review explored the segmentation and classification of Pap smear ...
IEEE

Brain MRI Image Segmentation and Classification using PCA-SVM and CNN

Abstract: Brain tumor is a malicious growth on surface of the brain or within the brain tissues, it is a life-threatening disease which can spread to other vital parts with slow pace, if not detected ...
Frontiers

A Multi-Scale Densely Connected Convolutional Neural Network for Automated Thyroid Nodule Classification

Automated thyroid nodule classification in ultrasound images is an important way to detect thyroid nodules and to make a more accurate diagnosis. In this paper, we propose a novel deep convolutional ...