SATr: Slice attention with transformer for universal lesion detection
Abstract Universal Lesion Detection (ULD) in computed tomography plays an essential role
in computer-aided diagnosis. Promising ULD results have been reported by multi-slice-input …
in computer-aided diagnosis. Promising ULD results have been reported by multi-slice-input …
Automatic pulmonary nodule detection on computed tomography images using novel deep learning
S Ghasemi, S Akbarpour, A Farzan… - Multimedia Tools and …, 2024 - Springer
Lung cancer poses a significant threat, contributing significantly to cancer-related mortality.
Computer-aided detection plays a pivotal role, particularly in the automated identification of …
Computer-aided detection plays a pivotal role, particularly in the automated identification of …
Bounding maps for universal lesion detection
Abstract (ULD) in computed tomography plays an essential role in computer-aided
diagnosis systems. Many detection approaches achieve excellent results for ULD using …
diagnosis systems. Many detection approaches achieve excellent results for ULD using …
Conditional training with bounding map for universal lesion detection
Abstract Universal Lesion Detection (ULD) in computed tomography plays an essential role
in computer-aided diagnosis. Promising ULD results have been reported by coarse-to-fine …
in computer-aided diagnosis. Promising ULD results have been reported by coarse-to-fine …
Diffuld: diffusive universal lesion detection
Abstract Universal Lesion Detection (ULD) in computed tomography (CT) plays an essential
role in computer-aided diagnosis. Promising ULD results have been reported by anchor …
role in computer-aided diagnosis. Promising ULD results have been reported by anchor …
Deformable dilated faster R-CNN for universal lesion detection in CT images
Cancer is a major public health issue and takes the second-highest toll of deaths caused by
non-communicable diseases worldwide. Automatically detecting lesions at an early stage is …
non-communicable diseases worldwide. Automatically detecting lesions at an early stage is …
Artifact detection in endoscopic video with deep convolutional neural networks
Gastrointestinal cancer is a common and deadly disease that affects many people in the
world. In 2019, Gastrointestinal cancer was the most common cancer and the second …
world. In 2019, Gastrointestinal cancer was the most common cancer and the second …
Size‐adaptive mediastinal multilesion detection in chest CT images via deep learning and a benchmark dataset
Purpose Many deep learning methods have been developed for pulmonary lesion detection
in chest computed tomography (CT) images. However, these methods generally target one …
in chest computed tomography (CT) images. However, these methods generally target one …
Mixed-order self-paced curriculum learning for universal lesion detection
Self-paced curriculum learning (SCL) has demonstrated its great potential in computer
vision, natural language processing, etc. During training, it implements easy-to-hard …
vision, natural language processing, etc. During training, it implements easy-to-hard …
[PDF][PDF] Object Detection in Dense Volume Data
R Sharma - 2021 - publica.fraunhofer.de
This project focuses on object detection in dense volume data. There are several types of
dense volume data, namely Computed Tomography (CT) scan, Positron Emission …
dense volume data, namely Computed Tomography (CT) scan, Positron Emission …