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09/07/2023
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications
Class activation mapping (CAM), a visualization technique for interpreti...
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08/01/2023
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 whi...
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07/24/2023
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 f...
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07/20/2023
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
Lung cancer is a leading cause of death worldwide and early screening is...
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07/12/2023
Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation
Mitosis detection is one of the fundamental tasks in computational patho...
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07/10/2023
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 wo...
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06/13/2023
UOD: Universal One-shot Detection of Anatomical Landmarks
One-shot medical landmark detection gains much attention and achieves gr...
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04/20/2023
Domain Generalization for Mammographic Image Analysis via Contrastive Learning
Mammographic image analysis is a fundamental problem in the computer-aid...
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04/01/2023
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization
Real-world medical image segmentation has tremendous long-tailed complex...
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02/24/2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification
Histopathological tissue classification is a fundamental task in computa...
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01/28/2023
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
Human readers or radiologists routinely perform full-body multi-organ mu...
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10/29/2022
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study
Objective: Radiomics, an emerging tool for medical image analysis, is po...
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07/15/2022
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation
Brain tumor segmentation (BTS) in magnetic resonance image (MRI) is cruc...
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05/17/2022
HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images
Ultrasonography is an important routine examination for breast cancer di...
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04/13/2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Lung cancer is the leading cause of cancer death worldwide, and adenocar...
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03/01/2022
Nuclear Segmentation and Classification Model with Imbalanced Classes for CoNiC Challenge
Nuclear segmentation and classification is an essential step for computa...
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02/28/2022
RestainNet: a self-supervised digital re-stainer for stain normalization
Color inconsistency is an inevitable challenge in computational patholog...
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11/04/2021
PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning
Histopathological tissue classification is a fundamental task in pathomi...
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10/14/2021
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels
Tissue-level semantic segmentation is a vital step in computational path...
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12/09/2020
AIDE: Annotation-efficient deep learning for automatic medical image segmentation
Accurate image segmentation is crucial for medical imaging applications....
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08/06/2019
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation
Multi-modal magnetic resonance imaging (MRI) is essential in clinics for...
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07/16/2019