Search Results for author: Yang Nan

Found 16 papers, 6 papers with code

Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization

1 code implementation7 Sep 2022 Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan

In this study, we examine the effects of the archive size on three aspects: (i) the quality of the selected final solution set, (ii) the total computation time for the archive maintenance and the final solution set selection, and (iii) the required memory size.

Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network

no code implementations4 Aug 2022 Yang Nan, Peng Tang, Guyue Zhang, Caihong Zeng, Zhihong Liu, Zhifan Gao, Heye Zhang, Guang Yang

However, most machine and deep learning based approaches are supervised and developed using a large number of training samples, in which the pixelwise annotations are expensive and sometimes can be impossible to obtain.

Large-Kernel Attention for 3D Medical Image Segmentation

no code implementations19 Jul 2022 Hao Li, Yang Nan, Javier Del Ser, Guang Yang

The performance improvement due to the proposed LK attention module was also statistically validated.

Computed Tomography (CT) Image Segmentation +3

Human Treelike Tubular Structure Segmentation: A Comprehensive Review and Future Perspectives

no code implementations12 Jul 2022 Hao Li, Zeyu Tang, Yang Nan, Guang Yang

Various structures in human physiology follow a treelike morphology, which often expresses complexity at very fine scales.

Computed Tomography (CT)

CS$^2$: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention

1 code implementation20 Jun 2022 Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang

The destitution of image data and corresponding expert annotations limit the training capacities of AI diagnostic models and potentially inhibit their performance.

Image Generation

Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers

no code implementations1 Apr 2022 Jiahao Huang, Yingying Fang, Yang Nan, Huanjun Wu, Yinzhe Wu, Zhifan Gao, Yang Li, Zidong Wang, Pietro Lio, Daniel Rueckert, Yonina C. Eldar, Guang Yang

Research studies have shown no qualms about using data driven deep learning models for downstream tasks in medical image analysis, e. g., anatomy segmentation and lesion detection, disease diagnosis and prognosis, and treatment planning.

Anatomy Explainable Models +2

Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology

no code implementations11 Mar 2022 Yang Nan, Fengyi Li, Peng Tang, Guyue Zhang, Caihong Zeng, Guotong Xie, Zhihong Liu, Guang Yang

Recognition of glomeruli lesions is the key for diagnosis and treatment planning in kidney pathology; however, the coexisting glomerular structures such as mesangial regions exacerbate the difficulties of this task.

Fine-Grained Image Classification whole slide images

Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization

1 code implementation18 Jan 2022 Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang

This paper aims to fill this research gap by proposing a benchmark test suite for subset selection from large candidate solution sets, and comparing some representative methods using the proposed test suite.


Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation

1 code implementation31 Oct 2021 Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang

However, it is well known that the DSC loss is poorly calibrated, resulting in overconfident predictions that cannot be usefully interpreted in biomedical and clinical practice.

Image Segmentation Semantic Segmentation

Hypervolume-Optimal $μ$-Distributions on Line/Plane-based Pareto Fronts in Three Dimensions

no code implementations20 Apr 2021 Ke Shang, Hisao Ishibuchi, WeiYu Chen, Yang Nan, Weiduo Liao

Then, we show that a uniform solution set on the plane-based Pareto front is not always optimal for hypervolume maximization.

Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning

no code implementations20 Dec 2017 Yang Nan, Gianmarc Coppola, Qiaokang Liang, Kunglin Zou, Wei Sun, Dan Zhang, Yaonan Wang, Guanzhen Yu

Gastric cancer is the second leading cause of cancer-related deaths worldwide, and the major hurdle in biomedical image analysis is the determination of the cancer extent.

Image Segmentation Tumor Segmentation

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