Tuberculosis of the Placenta: A Historical Study with Especial Reference to the Nature of the Earliest Lesions Produced by the Tubercle Bacillus [PDF]
A. S. Warthin
openalex +1 more source
SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation [PDF]
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]
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]
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
Discussion on Lesions of the Intestine and of the Urinary Tract Resembling Disease of the Female Genital Tract [PDF]
Lionel E. C. Norbury+2 more
openalex +1 more source
CHANGES IN OXYGEN CONSUMPTION, RADIO‐IODINE UPTAKE AND BODY TEMPERATURE FOLLOWING EXPOSURE TO COLD IN ALBINO RATS WITH HYPOTHALAMIC LESIONS [PDF]
James Beattie, R. D. Chambers
openalex +1 more source
Ultrasound and Photoacoustic Imaging for the Guidance of Laser Ablation Procedures
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
Segmenting Small Stroke Lesions with Novel Labeling Strategies [PDF]
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