Results 81 to 90 of about 56,273 (232)

CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation [PDF]

arXiv
Despite the significant success achieved by deep learning methods in medical image segmentation, researchers still struggle in the computer-aided diagnosis of abdominal lymph nodes due to the complex abdominal environment, small and indistinguishable lesions, and limited annotated data.
arxiv  

A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes [PDF]

arXiv, 2017
We propose a fully-automated method for accurate and robust detection and segmentation of potentially cancerous lesions found in the liver and in lymph nodes. The process is performed in three steps, including organ detection, lesion detection and lesion segmentation.
arxiv  

SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images [PDF]

arXiv
Accurate lymph node detection and quantification are crucial for cancer diagnosis and staging on contrast-enhanced CT images, as they impact treatment planning and prognosis. However, detecting lymph nodes in the mediastinal area poses challenges due to their low contrast, irregular shapes and dispersed distribution.
arxiv  

Atypical Kawasaki Disease Presenting with Hemiparesis and Aphasia: A Case Report

Iranian Journal of Medical Sciences, 2018
Kawasaki disease (KD) is an inflammatory vasculitis. KD is classified into two groups based on clinical characteristics criteria, namely classic and incomplete.
Ali Nikkhah
doaj  

Automatic breast cancer grading in lymph nodes using a deep neural network [PDF]

arXiv, 2017
The progression of breast cancer can be quantified in lymph node whole-slide images (WSIs). We describe a novel method for effectively performing classification of whole-slide images and patient level breast cancer grading. Our method utilises a deep neural network.
arxiv  

Enfermedad de Kawasaki: un caso con pseudo-obstrucción intestinal y aneurisma gigante

Revista Médica Herediana, 2002
We present a rare association of Kawasaki disease in a two year old boy presenting with fever, a morbiliform rash and clinical signs of intestinal pseudo-obstruction.
Carlos Tori Tori, Mario Vargas Galgani
doaj  

Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology [PDF]

arXiv, 2018
To alleviate the burden of gathering detailed expert annotations when training deep neural networks, we propose a weakly supervised learning approach to recognize metastases in microscopic images of breast lymph nodes. We describe an alternative training loss which clusters weakly labeled bags in latent space to inform relevance of patch-instances ...
arxiv  

Enfermedad de Kawasaki: a propósito de un caso atípico y con intususcepción

Revista Médica Herediana, 2001
We present a rare association of atypical Kawasaki disease and intussusception in a three month old male patient. It all began with high fever and an obstructive intestinal syndrome developed in the second day of hospitalization, diagnosed as a colo ...
Carlos Tori Tori, Carlos Bazán Zender, Mario Vargas Galgani   +2 more
doaj  

Risk factors and an early predictive model for Kawasaki disease shock syndrome in Chinese children

Italian Journal of Pediatrics
Background Kawasaki disease shock syndrome (KDSS), though rare, has increased risk for cardiovascular complications. Early diagnosis is crucial to improve the prognosis of KDSS patients. Our study aimed to identify risk factors and construct a predictive
Mingming Zhang, Congying Wang, Qirui Li, Hongmao Wang, Xiaohui Li   +4 more
doaj   +1 more source

Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Detection and Segmentation [PDF]

arXiv
Accurate segmentation of metastatic lymph nodes in rectal cancer is crucial for the staging and treatment of rectal cancer. However, existing segmentation approaches face challenges due to the absence of pixel-level annotated datasets tailored for lymph nodes around the rectum.
arxiv