Semi-Supervised Instance Segmentation in Whole Slide Images via Dense Spatial Variability Enhancing

J Yu, T Ma, D Hua, F Chen, J Fu… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Current whole slide image (WSI) segmentation aims at extracting tumor regions from the
background. Unlike this, segmenting distinct tumor areas (instances) within a WSI driven by …

IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Y Zhang, H Chao, Z Qiu, W Liu, Y Shen… - … Conference on Medical …, 2024 - Springer
Recent cancer survival prediction approaches have made great strides in analyzing H&E-
stained gigapixel whole-slide images. However, methods targeting the …

Guest Editorial Computational Mathematics Modeling in Cancer Analysis

W Qin, T Liu, F Zhang - IEEE Journal of Biomedical and Health …, 2024 - ieeexplore.ieee.org
Cancer is a complex disease that can affect any body part. One key feature of cancer is the
rapid production of abnormal cells that grow beyond their usual borders and can invade …

ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction

B Zhang, Z Meng, J Dong, F Su, Z Zhao - arXiv preprint arXiv:2501.02778, 2025 - arxiv.org
Survival prediction is a crucial task in the medical field and is essential for optimizing
treatment options and resource allocation. However, current methods often rely on limited …

UniCoN: Universal Conditional Networks for Multi-Age Embryonic Cartilage Segmentation with Sparsely Annotated Data

N Sapkota, Y Zhang, Z Zhao, M Gomez, Y Hsi… - arXiv preprint arXiv …, 2024 - arxiv.org
Osteochondrodysplasia, affecting 2-3% of newborns globally, is a group of bone and
cartilage disorders that often result in head malformations, contributing to childhood …

Transformer-Based Multi-Scale Fusion for Robust Predicting Microsatellite Instability from Pathological Images

T Hu, H Luan, R Yan, J Hu, K Yang, X Han… - … on Bioinformatics and …, 2024 - computer.org
Microsatellite instability (MSI) is a crucial biomarker for guiding the efficacy of
immunotherapy and adjuvant chemotherapy, making its detection essential for effective …

New Deep Learning Methods for Annotation-Efficient Medical Image Analysis

CY Zhang - 2024 - search.proquest.com
Medical image analysis is an impactful domain in computer science where the goal is to
computationally extract knowledge from images for health research, clinical assessment …

Transformers in Pathological Image Analysis: A Survey

L Liu, Z Liu, J Xie, H Zhang, J Chang… - Available at SSRN … - papers.ssrn.com
With the advancements of artificial intelligence, deep learning has emerged as the
predominant approach in computational pathology. It is dedicated to automatically analyzing …