WebNov 9, 2024 · The second dataset, called SegTHOR [41], is a public dataset consisting of 40 thoracic CT scans with lung cancer or Hodgkin's lymphoma. Four organs were manually … WebFrance. This data set, called SegTHOR for Segmentation of THoracic Organs at Risk, contains 60 CT scans from patients with lung cancer or Hodgkin’s lymphoma. In this …
Fugu-MT: arxivの論文翻訳
WebApr 8, 2024 · PDF Acquiring and annotating sufficient labeled data is crucial in developing accurate and robust learning-based models, but obtaining such data can... Find, read and cite all the research you ... WebThe paper proposes a hybrid 3D-ResNet based deep learning model with Atrous spatial pyramid pooling module and Project & Excite (PE)' module for 3D volumetric segmentation using Thoracic Organs at Risk (SegTHOR) dataset. The proposed model produces better results as compared to state-of-the-art deep learning models used in SegTHOR dataset. kreskin the magician
Multi-Organ Segmentation Using a Low-Resource Architecture
WebThis data set, called SegTHOR for Segmentation of THoracic Organs at Risk, contains 60 CT scans from patients with lung cancer or Hodgkin’s lymphoma. In this dataset, we focus on … WebNov 9, 2024 · The SegTHOR 2024 [18] dataset contains 40 cases in training and 20 cases in testing. The images or slices vary from 150 to 284 with a plane input image size of 512 × 512. ... Automatic... WebOct 10, 2024 · SegTHOR data set comprises annotated CT images of heart, aorta, trachea and esophagus. The soft tissue in heart, aorta and esophagus have a closely matching dynamic range in Hounsfield Units(HU) and therefore present challenging conditions for testing segmentation performance. kreskówki subs the owl house