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329
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ShareScore release 0.7.1
Dataset results
329 results for “histopathology”
Histopathology of the tongue in a mouse model of oculopharyngeal muscular dystrophy reveals progressive PABPN1 deposition associated with muscle wasting.
GEO Series GSE263433. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Primary tumor grafts as advanced models for breast cancer that authentically reflect tumor histopathology, growth, metastasis, and patient outcomes (copy number)
GEO Series GSE32530. Homo sapiens. 24 samples. Type: Genome variation profiling by SNP array.
Recognition of Cutaneous Melanoma on Digitized Histopathological Slides via Artificial Intelligence Algorithm - deep net Matlab
<p>The file is the trained convolutional neural network (CNN) developed in "De Logu, Francesco, et al. "Recognition of Cutaneous Melanoma on Digitized Histopathological Slides via Artificial Intelligence Algorithm." <em>Frontiers in Oncology</em> 10 (2020)". The CNN is based on a pretrained Inception-ResNet-v2 to automatically recognizes cutaneous melanoma from histopathological digitalized slides. The file is in a Matlab format (.mat).</p>
Endoscopic and histopathological findings in dyspeptic patients with Helicobacter pylori infection
<p><strong>Background: </strong>Despite advancements in medicine, gastrointestinal diseases caused by <em>Helicobacter pylori</em> continue to be common in developing countries. This study analyzed gastric mucosal biopsies from the Manipal College of Medical Sciences in Pokhara, Nepal, between January 2017 and June 2018 to determine the prevalence of <em>H. pylori</em>, its association with histopathological changes, and evaluate it using OLGA and OLGIM systems.</p> <p><strong>Methods: </strong>In this analytical cross-sectional study, 80 patients with dyspepsia were included. Biopsies were collected, stored, and labeled. The biopsies were fixed, cut into sections, and stained with routine H&E and Giemsa stains. Evaluations were made using OLGA and OLGIM staging. Statistical analyses were performed using SPSS version 17.0, with significance determined at p<0.05.</p> <p><strong>Results: </strong>Hospital-visiting patients had an 8.41% (38/452) [10.97–5.85%, 95% Confidence Interval (CI)] rate of <em>H. pylori</em> infection, while dyspeptic patients had 47.50% (38/80) (58.44–36.56, 95% CI). Females (48%, 12/25) and patients aged 31–40 (62.50%, 5/8) were mostly affected. The most common clinical presentation and endoscopic findings relating to infection included weight loss (15.79%) and erythema (44.74%), respectively. Provisional and histopathological diagnoses of <em>infected </em>patients mostly included gastritis (50%) and chronic gastritis (63.16%), respectively. Hundred percent of moderate <em>H. pylori</em> infections were associated with normal atrophy and intestinal metaplasia, while 89.66% of mild infections were associated with mild active and chronic inflammation. OLGIM downgraded one OLGA stage 2 and 4 and two OLGA stage 3 cases.</p> <p><strong>Conclusion: </strong><em>H. pylori</em> infections were most common in adults and females with chronic gastritis. OLGIM was less accurate than OLGA in evaluating high-risk cases, such as adenocarcinomas.</p>
Immunocto: a massive immune cell database auto-generated for histopathology
<p>As a first step towards building models that can recognise immune cells in WSIs, we introduce Immunocto, a high-resolution (40 x magnification) massive database of 2,282,818 immune cells distributed across 4 immune cell subtypes (CD4 T-cells, CD8+ T-cells, B-cells, and macrophages). To our knowledge, Immunocto is the largest available dataset of immune cells extracted from H\&E WSIs by an order of magnitude. All models trained with this database can be tried at www.octopath.ai</p>
Improving Histopathological Image Classification with Patch-based Embeddings and Ensemble Learning: A Study on Enteroscope Biopsy Images
<p>This dataset contains the application codes developed for Enteroscope Biopsy Histopathological images and the images divided into patches in the dataset.</p>
Association of TTGA (Tissue Transglutaminase Antibody) and Histopathologic Findings in Thyroidectomy Patients
ClinicalTrials.gov study NCT04974255. IPD Sharing: YES. Countries: 1. Publications: 0.
Pituitary Histopathology and Hyperprolactinaemia and Risk of Glucose Metabolic Disturbances in Acromegaly.
ClinicalTrials.gov study NCT02092129. IPD Sharing: NO. Countries: 1. Publications: 0.
Correlation of FeNO, Blood Eosinophils, Bronchoalveolar Lavage Findings and Bronchial Epithelium Histopathology in Patients With Chronic Obstructive Pulmonary Disease and Asthma
ClinicalTrials.gov study NCT03845257. IPD Sharing: UNDECIDED. Countries: 2. Publications: 0.
Clinical Evaluation of OSNA Breast Cancer System to Extensive Frozen Section Histopathology
ClinicalTrials.gov study NCT01368744. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Open Label Study Exploring Tissue Histopathology After Ellacor® Procedure in an Abdominoplasty Model.
ClinicalTrials.gov study NCT06421207. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Histopathology Images Based Survival Prediction of Glioma Patients Using Artificial Intelligence
ClinicalTrials.gov study NCT04215224. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
AI Model for Classifying Breast Cancer From Histopathology Images
ClinicalTrials.gov study NCT06717984. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Histopathological Findings in Symptomatizing Patients After Supracervical Hysterectomy
ClinicalTrials.gov study NCT04809727. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Evaluation of PSMA-PET and mpMRI in High-risk Prostate Cancer - Using Histopathologic Validation
ClinicalTrials.gov study NCT06565247. IPD Sharing: YES. Countries: 1. Publications: 0.
A Clinical Study on Endoscopic and Histopathological Outcomes of Screening and Surveillance Colonoscopies
ClinicalTrials.gov study NCT05869838. IPD Sharing: NO. Countries: 3. Publications: 0.
Study of PRoliferation and Apoptosis in Rectal Cancer, Predictive & Prognostic biOmarkers: Histopathology and Imaging
ClinicalTrials.gov study NCT02486094. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Correlation Between RECIST, Morphologic Response by CT- Histopathologic Response in Hepatic Metastasis Secondary to Colorectal Cancer
ClinicalTrials.gov study NCT01493713. IPD Sharing: NO. Countries: 1. Publications: 0.
Clinical and Histopathologic Characteristics of BAP1 Mutations
ClinicalTrials.gov study NCT01773655. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Validation of FDG-PET Segmentation Tools for Tumor Delineation by Correlation of CT- and FDG-PET Volume Measurements With Histopathology of Nodal Metastases of Head and Neck Carcinomas.
ClinicalTrials.gov study NCT00782691. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.