Results 141 to 150 of about 1,807,517 (362)

SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation [PDF]

open access: yesarXiv
Assessing lesions and tracking their progression over time in brain magnetic resonance (MR) images is essential for diagnosing and monitoring multiple sclerosis (MS). Machine learning models have shown promise in automating the segmentation of MS lesions. However, training these models typically requires large, well-annotated datasets.
arxiv  

Lesion Analysis and Diagnosis with Mask-RCNN [PDF]

open access: yesarXiv, 2018
This project applies Mask R-CNN method to ISIC 2018 challenge tasks: lesion boundary segmentation (task1), lesion attributes detection (task 2), lesion diagnosis (task 3), a solution to the latter is using a trained model for task 1 and a simple voting procedure.
arxiv  

Skin Lesion Analysis Towards Melanoma Detection via End-to-end Deep Learning of Convolutional Neural Networks [PDF]

open access: yesarXiv, 2018
This article presents the design, experiments and results of our solution submitted to the 2018 ISIC challenge: Skin Lesion Analysis Towards Melanoma Detection. We design a pipeline using state-of-the-art Convolutional Neural Network (CNN) models for a Lesion Boundary Segmentation task and a Lesion Diagnosis task.
arxiv  

Ultrasound and Photoacoustic Imaging for the Guidance of Laser Ablation Procedures

open access: yesSensors
The accuracy and efficacy of laser ablation procedures depend on the accurate placement of the laser applicator within the diseased tissue, monitoring the real-time temperature during the ablation procedure, and mapping the extent of the ablated region ...
Samuel John   +3 more
doaj   +1 more source

The finger lesion [PDF]

open access: yesInternal and Emergency Medicine, 2015
Ameneh Alaini   +3 more
openaire   +2 more sources

Segmenting Small Stroke Lesions with Novel Labeling Strategies [PDF]

open access: yesarXiv
Deep neural networks have demonstrated exceptional efficacy in stroke lesion segmentation. However, the delineation of small lesions, critical for stroke diagnosis, remains a challenge. In this study, we propose two straightforward yet powerful approaches that can be seamlessly integrated into a variety of networks: Multi-Size Labeling (MSL) and ...
arxiv  

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