44 citations · 88 across the 7 of their papers we have counts for
7 papers
Current Progress of Digital Twin Construction Using Medical Imaging
Feng Zhao, Yizhou Wu, Mingzhe Hu +4
Medical imaging has played a pivotal role in advancing and refining digital twin technology, allowing for the development of highly personalized virtual models that represent human…
Attention-Driven Lightweight Model for Pigmented Skin Lesion Detection
Mingzhe Hu, Xiaofeng Yang
This study presents a lightweight pipeline for skin lesion detection, addressing the challenges posed by imbalanced class distribution and subtle or atypical appearances of some le…
BreastSAM: A Study of Segment Anything Model for Breast Tumor Detection in Ultrasound Images
Mingzhe Hu, Yuheng Li, Xiaofeng Yang
Breast cancer is one of the most common cancers among women worldwide, with early detection significantly increasing survival rates. Ultrasound imaging is a critical diagnostic too…
Polyp-SAM: Transfer SAM for Polyp Segmentation
Yuheng Li, Mingzhe Hu, Xiaofeng Yang
Colon polyps are considered important precursors for colorectal cancer. Automatic segmentation of colon polyps can significantly reduce the misdiagnosis of colon cancer and improve…
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model
Mingzhe Hu, Yuheng Li, Xiaofeng Yang
Skin cancer is a prevalent and potentially fatal disease that requires accurate and efficient diagnosis and treatment. Although manual tracing is the current standard in clinics, a…
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT
Mingzhe Hu, Shaoyan Pan, Yuheng Li +1
In this paper, we aimed to provide a review and tutorial for researchers in the field of medical imaging using language models to improve their tasks at hand. We began by providing…