Annotated test-retest dataset of lung cancer CT scan images reconstructed at multiple imaging parametersQuantitative imaging biomarkers (QIB) are increasingly used in clinical research to advance precision medicine approaches in oncology. Computed tomography (CT) is a modality of choice for cancer ...
Quantitative imaging biomarkers (QIB) are increasingly used in clinical research to advance precision medicine approaches in oncology. Computed tomography (CT) is a modality of choice for cancer diagnosis, prognosis, and response assessment due to its re
The work in this research focuses on the automatic classification and prediction of lung cancer using computed tomography (CT) scans, employing Deep Learning (DL) strategies, specifically Enhanced Convolutional Neural Networks (CNNs), to enable rapid and accurate image analysis. This research designed...
Lung cancer is considered more serious among other prevailing cancer types. One of the reasons for it is that it is usually not diagnosed until it has spread and by that time it becomes very difficult to treat. Early detection of lung cancer can signific
Among all, lung cancer is most predominant having high death rate. Hence this is most important and a lot of research is going on and to identify lung cancer CT (Computed Tomography) scanned images are used. They provide a picture detailed with growth of tumor and tracks its growth in ...
deep-learningsemi-supervised-learninglung-cancer-detectiongenerative-adversarial-networksdata-science-bowl-2017u-netluna16 UpdatedJul 21, 2018 JavaScript A novel pipeline for detecting lung cancer from CT scan images. computer-visiondeep-learningimage-processinglung-cancer-detection ...
CT scan images.Immunohistochemical parameters. Description of data collection Clinico-pathological data were collected retrospectively from the local electronic hospital information system or the electronic patient record.Immunohistochemical (IHC) analysis was performed on tissue samples archived at the Pathology...
"AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets." arXiv preprint arXiv:2405.04605 (2024). Citation Dataset- Duke Lung A. Wang, F. I. TUSHAR, M. R. Harowicz, K. J. Lafata, T. D. Tailorand J. Y. Lo, “Duke Lu...
especially cancer pathology. Even more scarce are ML-ready image datasets. To address this need, we created an image dataset (LC25000) with 25,000 color images in 5 classes. Each class contains 5,000 images of the following histologic entities: colon adenocarcinoma, benign colonic tissue, lung...
机器学习_LungCancerDataSet（肺癌数据集）Lung Cancer Data Set(肺癌数据集)数据摘要：Lung cancer data; no attribute definitions 中⽂关键词：机器学习,肺癌,分类,多变量,UCI,英⽂关键词：Machine Learning,Lung Cancer,Classification,MultiVarite,UCI,数据格式：TEXT 数据⽤途：This data is used for ...