This six-setting repeat CT lung cancer image dataset will allow more comprehensive investigation of the reproducibility and robustness across imaging acquisition parameters for AI techniques such as radiomics, deep learning, and machine-learning methods. It also provides a valuable dataset to help ...
Although small cell lung cancer (SCLC) is treated as a homogeneous disease, biopsies and preclinical models reveal heterogeneity in transcriptomes and morphology. SCLC subtypes were recently defined by neuroendocrine transcription factor (NETF) expression. Circulating-tumor-cell-derived explant models (CDX...
To prove our hypothesis, we introduce a new lung CT image dataset with pathological information (LIDP), for lung cancer screening. LIDP contains 990 samples, including 783 malignant samples and 207 benign samples. More critically, the labels of all samples have been all examined by pathological ...
Specific subject area Prognostic Biomarkers in Non Small Cell Lung Cancer Type of data TableImageGraphFig.Raw data How data were acquired Data were retrospectively collected.Radiology.- Digital Imaging and Communications in Medicine (DICOM) datasets retrieved from PACS;- CT scanners: 6-slice and seco...
Classification of 5 Cancer Cell Classes Python 3.6.9 Quick Start Install necessary packages: pip install -r requirements.txt Edit start.py to include histopathological image path: ... img = 'dataset\demo\lungn10.png' ... Run start.py: python start.py Console output: >>> Lung: Benign...
Lung cancer is the leading cause of cancer-associated mortality worldwide1. Here we analysed 1,644 tumour regions sampled at surgery or during follow-up from the first 421 patients with non-small cell lung cancer prospectively enrolled into the TRACERx s
Small cell lung cancer (SCLC) is a highly aggressive subtype of lung cancer characterized by rapid tumor growth and early metastasis. Accurate prediction of prognosis and therapeutic response is crucial for optimizing treatment strategies and improving p
The Med-seg image data was split into training, validation, and testing sets, approximately under the ratio of 6:1:1. After the model was well developed, it was applied to the ICTCF dataset for further statistic mediation analysis because only ICTCF contains COVID-19 clinical severity ...
Sun Yat-sen University dataset 2 SYSUFH: First Affiliated Hospital of Sun Yat-sen University SZPH: Shenzhen People’s Hospital dataset TCGA: The Cancer Genome Atlas dataset TME: Tumour microenvironment TPR: True-positive rate WHO: World Health Organization WSI: Whole slide image ...
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...