no code implementations • 24 Apr 2024 • Xuxin Chen, Yuheng Li, Mingzhe Hu, Ella Salari, Xiaoqian Chen, Richard L. J. Qiu, Bin Zheng, Xiaofeng Yang
For framework evaluation, we assembled two datasets retrospectively.
no code implementations • 4 Aug 2023 • Mingzhe Hu, Xiaofeng Yang
The model also incorporates a knowledge-based loss weighting technique, which assigns different weights to the loss function at the class level and the instance level, helping the model focus on minority classes and challenging samples.
no code implementations • 21 May 2023 • Mingzhe Hu, Yuheng Li, Xiaofeng Yang
We conducted a thorough investigation of the Segment Anything Model (SAM) for the task of interactive segmentation of breast tumors in ultrasound images.
1 code implementation • 29 Apr 2023 • Yuheng Li, Mingzhe Hu, Xiaofeng Yang
In this study, we propose Poly-SAM, a finetuned SAM model for polyp segmentation, and compare its performance to several state-of-the-art polyp segmentation models.
no code implementations • 27 Apr 2023 • Mingzhe Hu, Yuheng Li, Xiaofeng Yang
Skin cancer is a prevalent and potentially fatal disease that requires accurate and efficient diagnosis and treatment.
no code implementations • 11 Apr 2023 • Mingzhe Hu, Shaoyan Pan, Yuheng Li, Xiaofeng Yang
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.
no code implementations • 28 Jun 2022 • Mingzhe Hu, Jiahan Zhang, Luke Matkovic, Tian Liu, Xiaofeng Yang
Compared to the enormous deployments of supervised and unsupervised learning models, attempts to use reinforcement learning in medical image analysis are scarce.