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Article
Open AccessMNMST: topology of cell networks leverages identification of spatial domains from spatial transcriptomics data
Advances in spatial transcriptomics provide an unprecedented opportunity to reveal the structure and function of biology systems. However, current algorithms fail to address the heterogeneity and interpretabil...
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Article
Open AccessDevelopment of a machine learning-based radiomics signature for estimating breast cancer TME phenotypes and predicting anti-PD-1/PD-L1 immunotherapy response
Since breast cancer patients respond diversely to immunotherapy, there is an urgent need to explore novel biomarkers to precisely predict clinical responses and enhance therapeutic efficacy. The purpose of our...
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Chapter and Conference Paper
CS-Net: A Stain Style Transfer Network for Histology Images with CS-Gate Attention
Accurate segmentation of epithelium in Hematoxylin-Eosin (HE)-stained oropharyngeal cancer (OPC) pathological images is the premise for quantitative diagnosis. However, the pathological features of OPC are hig...
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Article
Open AccessLarge-scale pancreatic cancer detection via non-contrast CT and deep learning
Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically detected late and at an inoperable stage. Early or incidental detection is associated with prolonged survival, but screen...
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Article
CT morphological features for predicting the risk of lymph node metastasis in T1 colorectal cancer
The aim of this study is to evaluate the feasibility of clinicopathological characteristics and computed tomography (CT) morphological features in predicting lymph node metastasis (LNM) for patients with T1 co...
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Article
An MRI-based scoring system for pretreatment risk stratification in locally advanced rectal cancer
Accurately assessing the risk of recurrence in patients with locally advanced rectal cancer (LARC) before treatment is important for the development of treatment strategies. The purpose of this study is to dev...
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Article
Open AccessAn artificial intelligence-based ecological index for prognostic evaluation of colorectal cancer
In the tumor microenvironment (TME), the dynamic interaction between tumor cells and immune cells plays a critical role in predicting the prognosis of colorectal cancer. This study introduces a novel approach ...
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Article
Prediction of platinum resistance for advanced high-grade serous ovarian carcinoma using MRI-based radiomics nomogram
This study aimed to explore the value of a radiomics nomogram to identify platinum resistance and predict the progression-free survival (PFS) of patients with advanced high-grade serous ovarian carcinoma (HGSOC).
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Article
Open AccessSub-minute acquisition with deep learning-based image filter in the diagnosis of colorectal cancers using total-body 18F-FDG PET/CT
This study aimed to retrospectively evaluate the feasibility of total-body 18F-FDG PET/CT ultrafast acquisition combined with a deep learning (DL) image filter in the diagnosis of colorectal cancers (CRCs).
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Article
Author Correction: Chinese expert recommendation of scanning protocol and clinical application of magnetic resonance cholangiopancreatography
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Article
Open AccessNecrosis score as a prognostic factor in stage I–III colorectal cancer: a retrospective multicenter study
Tumor necrosis results from failure to meet the requirement for rapid proliferation of tumor, related to unfavorable prognosis in colorectal cancer (CRC). However, previous studies used traditional microscopes...
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Article
Chinese expert recommendation of scanning protocol and clinical application of magnetic resonance cholangiopancreatography
Magnetic resonance cholangiopancreatography (MRCP) is an effective, safe, and non-invasive method for evaluation of pancreaticobiliary duct-related diseases. Optimizing the MRCP scanning process, standardizing...
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Article
Axillary ultrasound after neoadjuvant therapy reduces the false-negative rate of sentinel lymph node biopsy in patients with cytologically node-positive breast cancer
This study aimed to determine whether post-neoadjuvant therapy (NAT) axillary ultrasound (AUS) could reduce the false-negative rate (FNR) of sentinel lymph node biopsy (SLNB). We also performed subgroup analys...
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Chapter and Conference Paper
UOD: Universal One-Shot Detection of Anatomical Landmarks
One-shot medical landmark detection gains much attention and achieves great success for its label-efficient training process. However, existing one-shot learning methods are highly specialized in a single doma...
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Chapter and Conference Paper
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists
Lung cancer is a leading cause of death worldwide and early screening is critical for improving survival outcomes. In clinical practice, the contextual structure of nodules and the accumulated experience of ra...
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Chapter and Conference Paper
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer in which the tumor-vascular involvement greatly affects the resectability and, thus, overall survival of patients. However, current prognostic ...
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Chapter and Conference Paper
\(M^{2}\) Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction
Colorectal cancer (CRC) micro-satellite instability (MSI) prediction on histopathology images is a challenging weakly supervised learning task that involves multi-instance learning on gigapixel images. To date...
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Chapter and Conference Paper
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
Intracerebral hemorrhage (ICH) is the second most common and deadliest form of stroke. Despite medical advances, predicting treatment outcomes for ICH remains a challenge. This paper proposes a novel prognosti...
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Chapter and Conference Paper
DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer
Neo-adjuvant chemotherapy (NAC) is one of the main treatments in breast cancer, given before surgery to reduce the tumor's size and increase the surgical outcome's success rate. Predicting the response of brea...
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Chapter and Conference Paper
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans
Gastric cancer is the third leading cause of cancer-related mortality worldwide, but no guideline-recommended screening test exists. Existing methods can be invasive, expensive, and lack sensitivity to identif...
