10 citations · 10 across the 4 of their papers we have counts for
5 papers
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis
Mingyuan Liu, Lu Xu, Shengnan Liu +1
The success of Large Vision Models (LVMs) is accompanied by vast data volumes, which are prohibitively expensive in medical diagnosis.To address this, recent efforts exploit Parame…
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis
Mingyuan Liu, Lu Xu, Jicong Zhang
Fueled by deep learning, computer-aided diagnosis achieves huge advances. However, out of controlled lab environments, algorithms could face multiple challenges. Open set recogniti…
Gland Instance Segmentation Using Deep Multichannel Neural Networks
Yan Xu, Yang Li, Yipei Wang +4
Objective: A new image instance segmentation method is proposed to segment individual glands (instances) in colon histology images. This process is challenging since the glands not…
Gland Instance Segmentation by Deep Multichannel Neural Networks
Yan Xu, Yang Li, Mingyuan Liu +4
In this paper, we propose a new image instance segmentation method that segments individual glands (instances) in colon histology images. This is a task called instance segmentatio…
Gland Instance Segmentation by Deep Multichannel Side Supervision
Yan Xu, Yang Li, Mingyuan Liu +3
In this paper, we propose a new image instance segmentation method that segments individual glands (instances) in colon histology images. This is a task called instance segmentatio…