Jianrui Ding
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View article: Inspecting Model Fairness in Ultrasound Segmentation Tasks
Inspecting Model Fairness in Ultrasound Segmentation Tasks Open
With the rapid expansion of machine learning and deep learning (DL), researchers are increasingly employing learning-based algorithms to alleviate diagnostic challenges across diverse medical tasks and applications. While advancements in d…
View article: MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation
MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation Open
Due to the scarcity and specific imaging characteristics in medical images, light-weighting Vision Transformers (ViTs) for efficient medical image segmentation is a significant challenge, and current studies have not yet paid attention to …
View article: SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution
SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution Open
Dynamic convolution demonstrates outstanding representation capabilities, which are crucial for natural image segmentation. However, it fails when applied to medical image segmentation (MIS) and infrared small target segmentation (IRSTS) d…
View article: CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion
CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion Open
The U-shaped architecture has emerged as a crucial paradigm in the design of medical image segmentation networks. However, due to the inherent local limitations of convolution, a fully convolutional segmentation network with U-shaped archi…
View article: Short-term effects of air pollution and weather changes on the occurrence of acute aortic dissection in a cold region
Short-term effects of air pollution and weather changes on the occurrence of acute aortic dissection in a cold region Open
Background Air pollution and severe weather conditions can adversely affect cardiovascular disease emergencies. Nevertheless, it remains unclear whether air pollutants and low ambient temperature can trigger the occurrence of acute aortic …
View article: Thinking Twice: Clinical-Inspired Thyroid Ultrasound Lesion Detection Based on Feature Feedback
Thinking Twice: Clinical-Inspired Thyroid Ultrasound Lesion Detection Based on Feature Feedback Open
Accurate detection of thyroid lesions is a critical aspect of computer-aided diagnosis. However, most existing detection methods perform only one feature extraction process and then fuse multi-scale features, which can be affected by noise…
View article: Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model Open
Medical image segmentation is a critical step in computer-aided diagnosis, and convolutional neural networks are popular segmentation networks nowadays. However, the inherent local operation characteristics make it difficult to focus on th…
View article: DCRL-KG: Distributed Multi-Modal Knowledge Graph Retrieval Platform Based on Collaborative Representation Learning
DCRL-KG: Distributed Multi-Modal Knowledge Graph Retrieval Platform Based on Collaborative Representation Learning Open
The knowledge graph with relational abundant information has been widely used as the basic data support for the retrieval platforms. Image and text descriptions added to the knowledge graph enrich the node information, which accounts for t…
View article: CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network Open
U-Net and its extensions have achieved great success in medical image segmentation. However, due to the inherent local characteristics of ordinary convolution operations, U-Net encoder cannot effectively extract global context information.…
View article: BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation Open
Breast ultrasound (BUS) image segmentation is challenging and critical for BUS computer-aided diagnosis (CAD) systems. Many BUS segmentation approaches have been studied in the last two decades, but the performances of most approaches have…
View article: EMT-NET: Efficient Multitask Network for Computer-Aided Diagnosis of Breast Cancer
EMT-NET: Efficient Multitask Network for Computer-Aided Diagnosis of Breast Cancer Open
Deep learning-based computer-aided diagnosis has achieved unprecedented performance in breast cancer detection. However, most approaches are computationally intensive, which impedes their broader dissemination in real-world applications. I…
View article: EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer Open
Deep learning-based computer-aided diagnosis has achieved unprecedented performance in breast cancer detection. However, most approaches are computationally intensive, which impedes their broader dissemination in real-world applications. I…
View article: Ultrasound Image Super-Resolution with Two-Stage Zero-Shot CycleGAN
Ultrasound Image Super-Resolution with Two-Stage Zero-Shot CycleGAN Open
Medical ultrasound imaging is widely used in clinical diagnosis because of its non-invasive, convenient and quick characteristics. However, due to its low image contrast, multiple artifacts, noise and lack of paired high-resolution and low…
View article: Breast Anatomy Enriched Tumor Saliency Estimation
Breast Anatomy Enriched Tumor Saliency Estimation Open
Breast cancer investigation is of great significance, and developing tumor detection methodologies is a critical need. However, it is a challenging task for breast ultrasound due to the complicated breast structure and poor quality of the …
View article: Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling
Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling Open
Tumor saliency estimation aims to localize tumors by modeling the visual stimuli in medical images. However, it is a challenging task for breast ultrasound due to the complicated anatomic structure of the breast and poor image quality; and…
View article: Development and Application of Big Data Platform for Garlic Industry Chain
Development and Application of Big Data Platform for Garlic Industry Chain Open
In order to effectively solve the problems which affect the stable and healthy development of garlic industry, such as the uncertainty of the planting scale and production data, the influence factors of price fluctuation is d... | Find, re…
View article: A Hybrid Framework for Tumor Saliency Estimation
A Hybrid Framework for Tumor Saliency Estimation Open
Automatic tumor segmentation of breast ultrasound (BUS) image is quite challenging due to the complicated anatomic structure of breast and poor image quality. Most tumor segmentation approaches achieve good performance on BUS images collec…
View article: An improved authentication protocol–based dynamic identity for multi-server environments
An improved authentication protocol–based dynamic identity for multi-server environments Open
The age of Internet of things gives rise to more challenges to various secure demands when designing the protocols, such as object identification and tracking, and privacy control. In many of the current protocols, a malicious server may c…
View article: A Benchmark for Breast Ultrasound Image Segmentation (BUSIS)
A Benchmark for Breast Ultrasound Image Segmentation (BUSIS) Open
Breast ultrasound (BUS) image segmentation is challenging and critical for BUS Computer-Aided Diagnosis (CAD) systems. Many BUS segmentation approaches have been proposed in the last two decades, but the performances of most approaches hav…
View article: BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation Open
Breast ultrasound (BUS) image segmentation is challenging and critical for BUS Comput-er-Aided Diagnosis (CAD) systems. Many BUS segmentation approaches have been studied in the last two decades, but the performances of most approaches hav…
View article: The Research of Mobile Location Privacy Protection Access Control Method Based on Game Theory
The Research of Mobile Location Privacy Protection Access Control Method Based on Game Theory Open
In recent years, the Internet of things has developed rapidly. And the location‐based service (LBS) is becoming more and more extensive. Service providers hold a large number of users’ information. In order to improve the quality of servic…
View article: Automatic Breast Ultrasound Image Segmentation: A Survey
Automatic Breast Ultrasound Image Segmentation: A Survey Open
Breast cancer is one of the leading causes of cancer death among women worldwide. In clinical routine, automatic breast ultrasound (BUS) image segmentation is very challenging and essential for cancer diagnosis and treatment planning. Many…
View article: Neutro-Connectedness Cut
Neutro-Connectedness Cut Open
Interactive image segmentation is a challenging task and receives increasing attention recently; however, two major drawbacks exist in interactive segmentation approaches. First, the segmentation performance of region of interest (ROI)-bas…
View article: An algorithm for Left Atrial Thrombi detection using Transesophageal Echocardiography
An algorithm for Left Atrial Thrombi detection using Transesophageal Echocardiography Open
Transesophageal echocardiography (TEE) is widely used to detect left atrium (LA)/left atrial appendage (LAA) thrombi. In this paper, the local binary pattern variance (LBPV) features are extracted from region of interest (ROI). And the dyn…