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eess.IV2023★ 318 cited
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu, Yixiao Zhang, Jie-Neng Chen +7
An increasing number of public datasets have shown a marked impact on automated organ segmentation and tumor detection. However, due to the small size and partially labeled problem…
eess.IV2021★ 15 cited
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification
Jingye Chen, Jieneng Chen, Zongwei Zhou +3
Recent advances in automated skin cancer diagnosis have yielded performance on par with board-certified dermatologists. However, these approaches formulated skin cancer diagnosis a…
eess.IV2020★ 7 cited
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors
Zhuotun Zhu, Yongyi Lu, Wei Shen +2
This work presents comprehensive results to detect in the early stage the pancreatic neuroendocrine tumors (PNETs), a group of endocrine tumors arising in the pancreas, which are t…