Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images
V Andrearczyk, V Oreiller, S Boughdad… - 3D head and neck tumor …, 2021 - Springer
This paper presents an overview of the second edition of the HEad and neCK TumOR
(HECKTOR) challenge, organized as a satellite event of the 24th International Conference …
(HECKTOR) challenge, organized as a satellite event of the 24th International Conference …
Multiple sclerosis lesion analysis in brain magnetic resonance images: techniques and clinical applications
Multiple sclerosis (MS) is a chronic inflammatory and degenerative disease of the central
nervous system, characterized by the appearance of focal lesions in the white and gray …
nervous system, characterized by the appearance of focal lesions in the white and gray …
[HTML][HTML] End-to-end prostate cancer detection in bpMRI via 3D CNNs: effects of attention mechanisms, clinical priori and decoupled false positive reduction
We present a multi-stage 3D computer-aided detection and diagnosis (CAD) model 1 for
automated localization of clinically significant prostate cancer (csPCa) in bi-parametric MR …
automated localization of clinically significant prostate cancer (csPCa) in bi-parametric MR …
[HTML][HTML] Single level UNet3D with multipath residual attention block for brain tumor segmentation
Atrous convolution and attention have improved the performance of the UNet architecture for
segmentation purposes. However, a perfect combination of atrous convolution and attention …
segmentation purposes. However, a perfect combination of atrous convolution and attention …
[HTML][HTML] A high-resolution in vivo magnetic resonance imaging atlas of the human hypothalamic region
The study of the hypothalamus and its topological changes provides valuable insights into
underlying physiological and pathological processes. Owing to technological limitations …
underlying physiological and pathological processes. Owing to technological limitations …
[HTML][HTML] Automatic and unbiased segmentation and quantification of myofibers in skeletal muscle
Skeletal muscle has the remarkable ability to regenerate. However, with age and disease
muscle strength and function decline. Myofiber size, which is affected by injury and disease …
muscle strength and function decline. Myofiber size, which is affected by injury and disease …
Metrics reloaded: recommendations for image analysis validation
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an
underestimated global problem. In biomedical image analysis, chosen performance metrics …
underestimated global problem. In biomedical image analysis, chosen performance metrics …
SoftSeg: Advantages of soft versus binary training for image segmentation
Most image segmentation algorithms are trained on binary masks formulated as a
classification task per pixel. However, in applications such as medical imaging, this “black …
classification task per pixel. However, in applications such as medical imaging, this “black …
[HTML][HTML] Automated segmentation by deep learning of loose connective tissue fibers to define safe dissection planes in robot-assisted gastrectomy
Y Kumazu, N Kobayashi, N Kitamura, E Rayan… - Scientific Reports, 2021 - nature.com
The prediction of anatomical structures within the surgical field by artificial intelligence (AI) is
expected to support surgeons' experience and cognitive skills. We aimed to develop a deep …
expected to support surgeons' experience and cognitive skills. We aimed to develop a deep …
Benchmarking of deep architectures for segmentation of medical images
D Gut, Z Tabor, M Szymkowski… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
In recent years, there were many suggestions regarding modifications of the well-known U-
Net architecture in order to improve its performance. The central motivation of this work is to …
Net architecture in order to improve its performance. The central motivation of this work is to …