most citedMedMamba: Vision Mamba for Medical Image Classification

71 citations · 96 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2024

MpoxMamba: A Grouped Mamba-based Lightweight Hybrid Network for Mpox Detection

Yubiao Yue, Jun Xue, Haihuang Liang +2

Due to the lack of effective mpox detection tools, the mpox virus continues to spread worldwide and has once again been declared a public health emergency of international concern…

cs.CV2024★ 7 cited

Out-of-distribution Detection in Medical Image Analysis: A survey

Zesheng Hong, Yubiao Yue, Yubin Chen +10

Computer-aided diagnostics has benefited from the development of deep learning-based computer vision techniques in these years. Traditional supervised deep learning methods assume…

eess.IV2024★ 71 cited

MedMamba: Vision Mamba for Medical Image Classification

Yubiao Yue, Zhenzhang Li

Since the era of deep learning, convolutional neural networks (CNNs) and vision transformers (ViTs) have been extensively studied and widely used in medical image classification ta…

eess.IV2023★ 1 cited

Adversarial Masked Image Inpainting for Robust Detection of Mpox and Non-Mpox

Yubiao Yue, Zhenzhang Li

Due to the lack of efficient mpox diagnostic technology, mpox cases continue to increase. Recently, the great potential of deep learning models in detecting mpox and non-mpox has b…

eess.IV2023

SFUSNet: A Spatial-Frequency domain-based Multi-branch Network for diagnosis of Cervical Lymph Node Lesions in Ultrasound Images

Yubiao Yue, Jun Xue, Haihua Liang +2

Booming deep learning has substantially improved the diagnosis for diverse lesions in ultrasound images, but a conspicuous research gap concerning cervical lymph node lesions still…

eess.IV2023

U-SEANNet: A Simple, Efficient and Applied U-Shaped Network for Diagnosis of Nasal Diseases on Nasal Endoscopic Images

Yubiao Yue, Jun Xue, Chao Wang +2

Numerous studies have affirmed that deep learning models can facilitate early diagnosis of lesions in endoscopic images. However, the lack of available datasets stymies advancement…

cs.CV2023★ 4 cited

Ultrafast-and-Ultralight ConvNet-Based Intelligent Monitoring System for Diagnosing Early-Stage Mpox Anytime and Anywhere

Yubiao Yue, Xiaoqiang Shi, Li Qin +5

Due to the absence of more efficient diagnostic tools, the spread of mpox continues to be unchecked. Although related studies have demonstrated the high efficiency of deep learning…

cs.CV2023★ 1 cited

Ear-Keeper: A Cross-Platform AI System for Rapid and Accurate Ear Disease Diagnosis

Feiyan Lu, Yubiao Yue, Zhenzhang Li +7

Early and accurate detection systems for ear diseases, powered by deep learning, are essential for preventing hearing impairment and improving population health. However, the limit…

eess.IV2023★ 12 cited

Mpox-AISM: AI-Mediated Super Monitoring for Mpox and Like-Mpox

Yubiao Yue, Minghua Jiang, Xinyue Zhang +5

Swift and accurate diagnosis for earlier-stage monkeypox (mpox) patients is crucial to avoiding its spread. However, the similarities between common skin disorders and mpox and the…