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Dataset results
329 results for “histopathology”
Cadmium-induced oxidative stress, histopathology, and transcriptomic changes in the hepatopancreas of Fenneropenaeus merguiensis
GEO Series GSE244015. Penaeus merguiensis. 6 samples. Type: Expression profiling by high throughput sequencing.
Histopathology and transcriptome analysis reveals the gills mucosa injury and immunotoxicity in gibel carp following acute deltamethrin exposure
GEO Series GSE197741. Carassius gibelio. 6 samples. Type: Expression profiling by high throughput sequencing.
Histopathological characteristics of PDA cells in different malignant states [Xenium]
GEO Series GSE310433. Homo sapiens. 8 samples. Type: Other.
The Artificial Intelligence-based model, ANORAK, improves histopathological grading of lung adenocarcinoma
Open the record for dataset details and reuse information.
Dataset related to article "The Histopathological Growth Pattern of Colorectal Liver Metastases Impacts Local Recurrence Risk and the Adequate Width of the Surgical Margin"
<p>This record contains raw data related to article "The Histopathological Growth Pattern of Colorectal Liver Metastases Impacts Local Recurrence Risk and the Adequate Width of the Surgical Margin"</p> <p>Abstract</p> <p><strong>Background: </strong> The histopathological growth pattern (HGP) of colorectal liver metastases (CLM) has been associated with prognosis. This study was designed to elucidate if the HGP is associated with local recurrence risk and impacts the adequate width of surgical margin.</p> <p><strong>Methods: </strong> All consecutive patients resected for CLM in 2018-2019 were considered. HGP was prospectively classified as follows: desmoplastic, pushing, and replacement. Surgical margin was classified as follows: R0 (margin ≥ 1 mm), R1vasc (0-mm margin, tumor detachment from intrahepatic vessels), and R1par (tumor exposure along transection plane). R0 resections were further distinguished in R0min (1-mm margin) and R0wide (> 1-mm margin).</p> <p><strong>Results: </strong> A total of 340 resection areas in 136 patients were analyzed (70 R0min, 143 R0wide, 31 R1vasc, 96 R1par). HGP was desmoplastic in 26 cases, pushing in 221, and replacement in 93. Thirty-six local recurrences occurred (11%, median follow-up 21 months): 1 after R0wide, 4 after R0min, 3 after R1vasc, and 28 after R1par resection. In R1par group, local recurrence rate was high independently of HGP (29%). In R1vasc and R0min groups, local recurrence risk was higher in the replacement group (R1vasc: 29% vs. 4% if pushing/desmoplastic; R0min: 11% vs. 4%). In R0wide group, local recurrence risk was low for all HGP ( < 1%). Independent predictors of local recurrence were replacement HGP (odds ratio = 1.654, P = 0.036), and R1par resection (odds ratio = 57.209, P < 0.001 vs. R0).</p> <p><strong>Conclusions: </strong> Replacement HGP is associated with an increased risk of local recurrence. In these patients, a wide surgical margin should be pursued, because R1vasc and R0min resections could be insufficient. R1par resection is inadequate, independently of the HGP</p> <p><br> </p>
Quilt-1M: One Million Image-Text Pairs for Histopathology
<p>Recent accelerations in multi-modal applications have been made possible with the plethora of image and text data available online. However, the scarcity of similar data in the medical field, specifically in histopathology, has slowed similar progress. To enable similar representation learning for histopathology, we turn to YouTube, an untapped resource of videos, offering 1,087 hours of valuable educational histopathology videos from expert clinicians. From YouTube, we curate Quilt: a large-scale vision-language dataset consisting of 802,148 image and text pairs. Quilt was automatically curated using a mixture of models, including large language models), handcrafted algorithms, human knowledge databases, and automatic speech recognition. In comparison, the most comprehensive datasets curated for histopathology amass only around 200K samples. We combine Quilt with datasets, from other sources, including Twitter, research papers, and the internet in general, to create an even larger dataset: Quilt-1M, with 1M paired image-text samples, marking it as the largest vision-language histopathology dataset to date. We demonstrate the value of Quilt-1M by fine-tuning a pre-trained CLIP model. Our model outperforms state-of-the-art models on both zero-shot and linear probing tasks for classifying new pathology images across 13 diverse patch-level datasets of 8 different sub-pathologies and cross-modal retrieval tasks.</p>
Dataset for segmentation of multiple histopathology findings in rat liver
<p>Dataset_HistoPathology_DILIscreening_KIT folder</p> <p>- Histology images from rat tox study in Korea Institute of Toxicology (KIT)</p> <p>- Dataset for detecting multiple findings and normal features such as infiltration, inflammation, fibrosis, necrosis, vacuolation, portal triad, or connective tissue to screen drug-induced liver injury. </p> <p>- Each folders include about 1000 images and a json file.</p> <p>- Images are 448 by 448 pixel jpg format and 20X microscopic magnification.</p> <p>- A json file has coordinate information about every image and prepared for segmentation algorithm training. </p> <p> </p> <p>CropSlideImages_for_Inference folder</p> <p>- 5 images for inference test.</p> <p>- Image info: 10752 by 10752 pixel, jpg format, 20X magnification </p> <p> </p> <p> </p>
dataset related to article"TOWARD A BETTER DEFINITION OF FOCAL CORTICAL DYSPLASIA: AN ITERATIVE HISTOPATHOLOGICAL AND GENETIC AGREEMENT TRIAL"
<p>rawdata related to article mentioned at title</p>
Human histopathology - liver sections stained with CD68 and IRF5
<p>Human histopathology - liver sections stained with CD68 and IRF5</p> <p>From V Paradis </p>
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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.