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20172023
most citedPVT v2: Improved Baselines with Pyramid Vision Transformer

2.4k citations · 8k across the 63 of their papers we have counts for

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6 papers · 1 filter

eess.IV2023★ 1 cited

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis

Han Zhou, Dong Ni, Ao Chang +10

Ultrasound (US) imaging is indispensable in clinical practice. To diagnose certain diseases, sonographers must observe corresponding dynamic anatomic structures to gather comprehen…

eess.IV2022★ 177 cited

Video Polyp Segmentation: A Deep Learning Perspective

Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou +4

We present the first comprehensive video polyp segmentation (VPS) study in the deep learning era. Over the years, developments in VPS are not moving forward with ease due to the la…

eess.IV2021★ 368 cited

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Bo Dong, Wenhai Wang, Deng-Ping Fan +3

Most polyp segmentation methods use CNNs as their backbone, leading to two key issues when exchanging information between the encoder and decoder: 1) taking into account the differ…

eess.IV2020★ 111 cited

PraNet: Parallel Reverse Attention Network for Polyp Segmentation

Deng-Ping Fan, Ge-Peng Ji, Tao Zhou +4

Colonoscopy is an effective technique for detecting colorectal polyps, which are highly related to colorectal cancer. In clinical practice, segmenting polyps from colonoscopy image…

eess.IV2020★ 16 cited

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

Deng-Ping Fan, Tao Zhou, Ge-Peng Ji +5

Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung infections from computed tomo…

eess.IV2020★ 408 cited

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

Yu-Huan Wu, Shang-Hua Gao, Jie Mei +4

Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in over 200 countries, influencing billions of humans. To control the infection, identifying and sep…