most citedDeep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019

8 citations · 8 across the 4 of their papers we have counts for

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eess.IV2022

CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation

Weiwei Cui, Yaqi Wang, Yilong Li +8

Accurate tooth volume segmentation is a prerequisite for computer-aided dental analysis. Deep learning-based tooth segmentation methods have achieved satisfying performances but re…

eess.IV2022

Evaluating the Practicality of Learned Image Compression

Hongjiu Yu, Qiancheng Sun, Jin Hu +9

Learned image compression has achieved extraordinary rate-distortion performance in PSNR and MS-SSIM compared to traditional methods. However, it suffers from intensive computation…

eess.IV2020★ 8 cited

Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019

Zhang Li, Jiehua Zhang, Tao Tan +30

Accurate segmentation of lung cancer in pathology slides is a critical step in improving patient care. We proposed the ACDC@LungHP (Automatic Cancer Detection and Classification in…