Interactive medical image annotation using improved Attention U-net with compound geodesic distance
Y Zhang, J Chen, X Ma, G Wang, UA Bhatti… - Expert systems with …, 2024 - Elsevier
Accurate and massive medical image annotation data is crucial for diagnosis, surgical
planning, and deep learning in the development of medical images. However, creating large …
planning, and deep learning in the development of medical images. However, creating large …
Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel
Abstract Background AI/ML CAD tools can potentially improve outcomes in the high-stakes,
high-volume model of trauma radiology. No prior scoping review has been undertaken to …
high-volume model of trauma radiology. No prior scoping review has been undertaken to …
iSegFormer: interactive segmentation via transformers with application to 3D knee MR images
Interactive image segmentation has been widely applied to obtain high-quality voxel-level
labels for medical images. The recent success of Transformers on various vision tasks has …
labels for medical images. The recent success of Transformers on various vision tasks has …
A decision support system for the identification of metastases of Metastatic Melanoma using whole-body FDG PET/CT images
TP Vagenas, TL Economopoulos… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Metastatic Melanoma (MM) is an aggressive type of cancer which produces metastases
throughout the body with very poor survival rates. Recent advances in immunotherapy have …
throughout the body with very poor survival rates. Recent advances in immunotherapy have …
[HTML][HTML] fastMONAI: A low-code deep learning library for medical image analysis
S Kaliyugarasan, AS Lundervold - Software Impacts, 2023 - Elsevier
We introduce fastMONAI, an open-source Python-based deep learning library for 3D
medical imaging. Drawing upon the strengths of fastai, MONAI, and TorchIO, fastMONAI …
medical imaging. Drawing upon the strengths of fastai, MONAI, and TorchIO, fastMONAI …
Segmentation of hard exudate lesions in color fundus image using two-stage CNN-based methods
Q Van Do, HT Hoang, N Van Vu, DA De Jesus… - Expert Systems with …, 2024 - Elsevier
The presence of hard exudate (EX) lesions is an early clinical symptom of Diabetic
Retinopathy (DR); its accurate segmentation is essential for diagnosis and treatment …
Retinopathy (DR); its accurate segmentation is essential for diagnosis and treatment …
Multimodal interactive lung lesion segmentation: A framework for annotating pet/ct images based on physiological and anatomical cues
VJ Hallitschke, T Schlumberger… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Recently, deep learning enabled the accurate segmentation of various diseases in medical
imaging. These performances, however, typically demand large amounts of manual voxel …
imaging. These performances, however, typically demand large amounts of manual voxel …
ECONet: Efficient convolutional online likelihood network for scribble-based interactive segmentation
Automatic segmentation of lung lesions associated with COVID-19 in CT images requires
large amount of annotated volumes. Annotations mandate expert knowledge and are time …
large amount of annotated volumes. Annotations mandate expert knowledge and are time …
A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow
Background Reproducible approaches are needed to bring AI/ML for medical image
analysis closer to the bedside. Investigators wishing to shadow test cross-sectional medical …
analysis closer to the bedside. Investigators wishing to shadow test cross-sectional medical …
A deep learning-based interactive medical image segmentation framework with sequential memory
I Mikhailov, B Chauveau, N Bourdel, A Bartoli - Computer Methods and …, 2024 - Elsevier
Background and objective. Image segmentation is an essential component in medical image
analysis. The case of 3D images such as MRI is particularly challenging and time …
analysis. The case of 3D images such as MRI is particularly challenging and time …