Semi-Supervised Instance Segmentation in Whole Slide Images via Dense Spatial Variability Enhancing
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 …
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
Recent cancer survival prediction approaches have made great strides in analyzing H&E-
stained gigapixel whole-slide images. However, methods targeting the …
stained gigapixel whole-slide images. However, methods targeting the …
Guest Editorial Computational Mathematics Modeling in Cancer Analysis
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 …
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 …
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
Osteochondrodysplasia, affecting 2-3% of newborns globally, is a group of bone and
cartilage disorders that often result in head malformations, contributing to childhood …
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 …
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 …
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 …
predominant approach in computational pathology. It is dedicated to automatically analyzing …