Multi-Scale Heterogeneity-Aware Hypergraph Representation for Histopathology Whole Slide Images

1 code implementation • 30 Apr 2024 • Minghao Han, Xukun Zhang, Dingkang Yang, Tao Liu, Haopeng Kuang, Jinghui Feng, Lihua Zhang

Survival prediction is a complex ordinal regression task that aims to predict the survival coefficient ranking among a cohort of patients, typically achieved by analyzing patients' whole slide images.

Multiple Instance Learning Survival Prediction +1

An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion

no code implementations • 28 Jan 2024 • Sharib Ali, Yamid Espinel, Yueming Jin, Peng Liu, Bianca Güttner, Xukun Zhang, Lihua Zhang, Tom Dowrick, Matthew J. Clarkson, Shiting Xiao, Yifan Wu, Yijun Yang, Lei Zhu, Dai Sun, Lan Li, Micha Pfeiffer, Shahid Farid, Lena Maier-Hein, Emmanuel Buc, Adrien Bartoli

A total of 6 teams from 4 countries participated, whose proposed methods were evaluated on 16 images and two preoperative 3D models from two patients.

Tissue Segmentation of Thick-Slice Fetal Brain MR Scans with Guidance from High-Quality Isotropic Volumes

no code implementations • 13 Aug 2023 • Shijie Huang, Xukun Zhang, Zhiming Cui, He Zhang, Geng Chen, Dinggang Shen

Accurate tissue segmentation of thick-slice fetal brain magnetic resonance (MR) scans is crucial for both reconstruction of isotropic brain MR volumes and the quantification of fetal brain development.

Domain Adaptation Segmentation +1

Pyramid Focusing Network for mutation prediction and classification in CT images

no code implementations • 7 Apr 2020 • Xukun Zhang, Wenxin Hu, Wen Wu

Predicting the mutation status of genes in tumors is of great clinical significance.

Computed Tomography (CT) Data Augmentation +1